Our 

First Principles

People-First Leadership

Our leadership team is grounded in a deep commitment to the well-being of our employees, customers, and the communities we serve. We foster a culture built on empathy, respect, and long-term impact.

Entrepreneurial Execution

We operate with a founder's mindset - agile, accountable, and driven to solve real-world problems. Our global teams are focused on delivering meaningful customer value and impactful careers for employees.

Integrity in Action

We hold ourselves to the highest ethical standards. Trust is the foundation of everything we do - internally and externally. We believe in transparency, accountability, and doing what's right, even when it's not easy.

Excellence through Collaboration

We collaborate with our customers in building cutting edge solutions. Our diverse, high-performing teams thrive on open communication, shared goals, and a relentless pursuit of operational excellence.

Message from Our 

CEO

We are committed to building an environment where every member of our team feels valued and empowered. We believe that diversity fuels innovation, and celebrating individuality is the key to achieving exceptional outcomes.

At ReKnew, our greatest strength lies in our people - individuals like you, with your expertise, drive, and passion for creating true value and thrive in these transformative times.

Murali Sajja

CEO & Co Founder, ReKnew

The 

Spark

Our story began with a simple realization

Enterprises today face unprecedented pressure to leverage AI and intelligent Agents for automation and efficiency at scale. This technological shift is creating challenges across business, product, technology, and data functions. The skills needed to build the future are scarce, while existing foundations require significant enhancement.

ReKnew was founded to bridge this gap

At ReKnew, we are partnering with enterprises to overcome these readiness challenges, revitalizing their core capabilities and positioning them for success in this rapidly evolving landscape.

Core 

Principle

 of Engagement

Strategy Consulting

  •  ReKnew's senior practitioners help CXOs deliver significant business value through a pragmatic, faster, and more affordable management consulting model.
  • Become a trusted partner and an extension of CXO teams, providing strategic roadmaps, targeted solutions, and actionable plans that prioritize rapid value delivery.
  • Deliver strategic advisory services that identify high-impact digital transformation opportunities aligned with business objectives and market dynamics.

Solution Delivery

  • A combination of SMEs and accelerators deliver faster data modernization and AI adoption programs for enterprise.
  •  Become trusted partners for mid-level managers who are responsible for delivering programs.
  • Take ownership of end-to-end delivery. Compete with global service providers with speed of delivery and assuming full accountability.
  • Train customers' teams on new tech stacks, models and operations.

Fearless 

Thinkers

 and Relentless 

Executioners

Murali Sajja

CEO

Murali Sajja is a seasoned Enterprise Tech practitioner with 25+ years building teams that deliver measurable brand value. As a bootstrapping entrepreneur, he's passionate about solving complex enterprise challenges through human-centered innovation. At ReKnew, Murali helps organizations unleash new value streams and reduce inefficiencies by strategically harnessing human and AI capabilities for unprecedented outcomes. He prioritizes all stakeholders—team members, customers, investors, and partners and creates a cohesive environment for all to thrive and cherish the journey. Outside work, he enjoys reading, traveling, cherishing family and friends, solitude, meeting people and sharing a laugh.

Les D’Souza

CTO

Les is a seasoned digital leader with over 25 years of experience helping organizations – from startups to global giants – transform and innovate. He's passionate about using modern technologies like AI/ML and cloud to create real business value. Known for his ability to drive new ventures and mentor others, Les is a patented problem-solver who has mastered the balance of driving innovation at work and enjoying a fulfilling life outside of it as a father, husband, and human.

Maria Mann

Strategic Advisor

Maria brings unmatched strategic foresight to ReKnew. With her deep industry experience and passion for purposeful growth, she helps steer the company's direction and long-term vision. Her influence ensures that every innovation aligns with our mission and our humanity.

Kati DiFazio

Sr. Partner, Enterprise AI Adoption

With extensive expertise in formal program management, Kati brings a distinguished career spanning twenty years at JP Morgan Chase and a decade as Founder and Managing Partner of KMD Advisors, where she repeatedly succeeded in guiding large cross-functional teams through complex implementations. At ReKnew, Kati will lead our Adaptive Enablement practice, helping enterprises navigate the human side of AI transformation. Her proven track record of managing enterprise-wide change initiatives makes her the perfect leader to help our clients truly integrate AI into their organizational DNA.

Tommy Nicholson

Context Architect

Tommy is a strategic data and analytics leader with over 20 years of experience helping companies—from leading banks to digital-first teams—turn complex data challenges into business value. He's passionate about using AI, analytics, and modern data platforms to enhance customer experiences, streamline operations, and drive meaningful outcomes. Respected for his ability to bridge business goals with technical solutions, Tommy is a thoughtful builder, mentor, and storyteller. At ReKnew Business Solutions, he partners with clients to bring clarity, speed, and innovation to their most critical data and AI initiatives.

Kiran Batchu

Context Engineering Lead

Kiran is a seasoned software and cloud architecture leader with over 20 years of experience delivering scalable, real-time, and data-driven solutions across the financial services industry. He specializes in Modern Data Platforms, MLOps, and cross-platform engineering, with deep proficiency in technologies like Spark, Kafka, Snowflake, and AWS. Kiran has led the design and implementation of cloud-native platforms, real-time analytics frameworks, and regulatory AI models at organizations at leading financial institutions. Recognized for award-winning innovation and technical leadership, Kiran bridges business and technology to bring ideas to market.

Murali Kashaboina

Advisor, Data and AI

A highly accomplished digital innovator, Murali Kashaboina has a deep expertise in creating and delivering data and digital solutions that optimize organizational performance. With over 25 years of experience, he has successfully led digital transformation initiatives in healthcare, transportation, and manufacturing. Murali's strengths lie in his ability to blend technical vision with business acumen, driving innovation through AI/data science, cloud enablement, and enterprise architecture, all while fostering a customer-centric approach. Murali is a true technology thought leader with a PhD in data science, AI, and machine learning to prove it!

Kalyan Chakravarthy

Solutions Engineering Lead

Kalyan is a data and analytics expert with over 15 years of experience helping organizations across banking, finance, and tech turn data into scalable products and real-world impact. He’s known for building analytics platforms from the ground up, including solutions that now serve over 300 customers.He’s passionate about connecting modern data platforms with AI to solve complex business problems, drive efficiency, and deliver results that matter. With a sharp eye for both strategy and execution, Kalyan bridges technical depth with business insight.As Solutions Engineering Lead at ReKnew, he guides teams on AI-driven data initiatives, mentors engineers, and helps clients move fast on high-stakes projects.

ReKnew Engineering Team

ReKnew

Operating from strategic hubs in India and USA, ReKnew's engineering team combines local expertise with a global talent pool. This collaborative structure enables us to build diverse and dynamic teams that deliver cutting-edge solutions and exceptional value to our clients.

Life at 

ReKnew

Competitive Benefits

  •  Competitive salary with equity options
  •  Comprehensive health insurance with dental and vision
  • Generous paid time off and parental leave policies

Vibrant Culture

  •  Innovation-focused environment where ideas thrive
  • Regular team-building events and celebrations
  •  Transparent leadership and open communication

Diversity & Inclusion

  • Commitment to building diverse teams and inclusive workplace
  • Employee resource groups and diversity initiatives
  • Equal opportunity employment and fair practices

Flexible Work

  • Flexible work culture so you can take ownership and deliver results and bring the best version of our teams
  • Results-oriented culture that values output over hours
  •  Quarterly in-person team retreats for collaboration

Personal Development

  • Mentorship programs and career path guidance
  • Conference attendance and speaking opportunities

Health & Wellness

  • Monthly wellness stipend for fitness and mental health
  • Mental health days and access to wellness resources

Bring your brilliance. 

Build what's next.

Current Openings

Engineering & Data

AI/ML Engineer

Remote / IND

Full-time

Learn More

Gen AI/ Agent Engineer

Remote / IND

Full-time

Learn More

Data & AI Solutions Delivery Lead

Remote / United States

Full-time

Learn More

Don't see a perfect fit

If you are an engineer at heart and have deep work ethic, share your GitHub link.

Join Our Team

Visit Our 

Headquarters

ReKnew Global Headquarters

4030 Old Milton ParkwayAlpharetta, GA 30005United States of America

Call Us Directly

+1 (678) 253-2599

Email Us

social@reknew.ai

Business Hours

Monday – Friday

9:00 AM – 6:00 PM

Open

Saturday & Sunday

Closed

Closed

Holiday schedules may vary. Please contact us for specific holiday hours.

We help organizations reduce inefficiencies, automate workflows, and unlock growth opportunities.

4030 Old Milton Parkway Alpharetta, GA 30005 USA

social@reknew.ai

+1(678) 253-2599

© 2025 ReKnew. All Rights Reserved.

Join Our Team

If you are an engineer at heart and have deep work ethic, share your GitHub link

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Gen AI/ Agent Engineer

Remote / IND

Full Time

ReKnew is a cutting-edge startup on a mission to help enterprises revitalize their core business functions through transformative AI. Founded by experienced practitioners and guided by expert advisors, we specialize in leveraging decades of enterprise experience in technology, data, analytics, automation, and AI.

As a key member of our Gen AI team, you'll help architect and build intelligent, scalable, AI-powered agents that enhance workflows across sales, customer success, HR, finance, and more.

What You’ll Do:

- Build scalable and interoperable Gen AI agents to automate and reimagine enterprise workflows.

- Rapidly prototype and validate AI solutions, transitioning POCs into production-ready systems.

- Design systems that handle variability in generative AI outputs with robust guardrails.

- Collaborate on prompt engineering through iteration and cross-functional insights.

- Research and incorporate the latest in LLM and Gen AI technologies.

- Drive innovation by proposing new product features based on emerging AI capabilities.

Core Skills & Technologies:

- Strong programming experience with Python and/or JavaScript/TypeScript.

- Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or JAX.

- Knowledge of NLP, embeddings, and text processing.

- Hands-on experience with prompt engineering and model fine-tuning.

- Solid data engineering and system design skills.

Agent-Specific Expertise:

- Understanding of agent architecture and memory systems.

- Integration with tools, APIs, and data sources.

- Planning algorithms and multi-agent collaboration.

- Human/automated feedback loop design and evaluation frameworks.

Specialized Knowledge:

- Reinforcement Learning (including RLHF), RAG pipelines.

- Deployment: APIs, containerization, and serving infrastructure.

- LLMOps: Monitoring, updating, and managing LLMs in production.

- Experience with vector databases and similarity search.

Who You Are:

- A seasoned software engineer with a strong Python background.

- Skilled in building 0–1 Gen AI products and agentic workflows.

- Experienced in evaluation frameworks and human-in-the-loop feedback.

- A prompt engineering expert with a passion for experimentation and iteration.

- A Gen AI advocate who understands and leverages the unique strengths of LLMs.

- An effective communicator who collaborates well with technical and non-technical stakeholders.

Join us at ReKnew to shape the future of enterprise AI.

AI/ML Engineer

Remote / IND

Full Time

ReKnew Overview

We are ReKnew! Our mission is to help Enterprises revitalize their core business and organization by positioning themselves for the new world of AI. ReKnew is a startup founded by practitioners, surrounded by advisors and built on decades of experience in Enterprise technology, data, analytics, AI, digital and automation across industries. We are looking for top talent to join us in this mission.

Description

We’re seeking a hands-on AI/ML Engineer with deep expertise in large language models, retrieval-augmented generation (RAG), and cloud-native ML development on AWS. You'll be a key driver in building scalable, intelligent learning systems powered by cutting-edge AI and robust AWS infrastructure.

If you’re passionate about combining NLP, deep learning, and real-world application at scale—this is the role for you.

Core Skills & Technologies

LLM Ecosystem & APIs

• OpenAI, Anthropic, Cohere

• Hugging Face Transformers

• LangChain, LlamaIndex (RAG orchestration)

Vector Databases & Indexing

• FAISS, Pinecone, Weaviate

AWS-Native & ML Tooling

• Amazon SageMaker (training, deployment, pipelines)

• AWS Lambda (event-driven workflows)

• Amazon Bedrock (foundation model access)

• Amazon S3 (data lakes, model storage)

• AWS Step Functions (workflow orchestration)

• AWS API Gateway & IAM (secure ML endpoints)

• CloudWatch, Athena, DynamoDB (monitoring, analytics, structured storage)

Languages & ML Frameworks

• Python (primary), PyTorch, TensorFlow

• NLP, RAG systems, embeddings, prompt engineering

What You’ll Do

• Model Development & Tuning

o Fine-tune and deploy LLMs and custom models using AWS SageMaker

o Build RAG pipelines with LlamaIndex/LangChain and vector search engines

• Scalable AI Infrastructure

o Architect distributed model training and inference pipelines on AWS

o Design secure, efficient ML APIs with Lambda, API Gateway, and IAM

• Product Integration

o Embed intelligent systems (tutoring agents, recommendation engines) into learning platforms using Bedrock, SageMaker, and AWS-hosted endpoints

• Rapid Experimentation

o Prototype multimodal and few-shot learning workflows using AWS services

o Automate experimentation and A/B testing with Step Functions and SageMaker Pipelines

• Data & Impact Analysis

o Leverage S3, Athena, and CloudWatch to define metrics and continuously optimize AI performance

• Cross-Team Collaboration

o Work closely with educators, designers, and engineers to deliver AI features that enhance student learning

Who You Are

• Deeply Technical: Strong foundation in machine learning, deep learning, and NLP/LLMs

• AWS-Fluent: Extensive experience with AWS ML services (especially SageMaker, Lambda, and Bedrock)

• Product-Minded: You care about user experience and turning ML into real-world value

• Startup-Savvy: Comfortable with ambiguity, fast iterations, and wearing many hats

• Mission-Aligned: Passionate about education, human learning, and AI for good

Bonus Points

• Hands-on experience fine-tuning LLMs or building agentic systems using AWS

• Open-source contributions in AI/ML or NLP communities

• Familiarity with AWS security best practices (IAM, VPC, private endpoints)

Data & AI Solutions Delivery Lead

Remote / IND

Full Time

**ReKnew Overview**

We are ReKnew! Our mission is to help Enterprises revitalize their core business and organization by positioning themselves for the new world of AI.

ReKnew is a startup founded by practitioners, surrounded by advisors and built on decades of experience in Enterprise technology, data, analytics, AI, digital and automation across industries. We are looking for top talent to join us in this mission.

**Description**

We are seeking Solutions Delivery Leads (AI & Data) with a strong background in AI, data engineering, and cloud technologies, combined with a proven track record in project delivery and client engagements. This is an exciting opportunity to join a startup focused on partnering with enterprises to revitalize their business and play a critical role in the expansion of our AI, Data, and Analytics practice.

**Key Responsibilities**

- Lead AI & Data initiatives by collaborating with senior client stakeholders and strategic partners across industries such as Retail, Banking and Financial Services Industry, Health Care and Life Sciences.

- Drive pipeline growth, respond to RFPs, and develop innovative AI-enabled data solutions.

- Conduct assessments, workshops and capability presentations.

- Shape AI-powered cloud and data transformation programs.

- Architect AI-driven Data Solutions using modern cloud and big data technologies built on Enterprise Architecture principles.

- Design enterprise-scale AI systems using advanced ML/AI frameworks and cloud-native services.

- Design intelligent data platforms enabling predictive analytics, real-time insights, and autonomous operations.

- Standardize and Accelerate AI Delivery Frameworks

- Design reusable frameworks for data ingestion, transformation, feature engineering, and model deployment using Spark, Kafka, and other streaming tools.

- Develop architecture patterns and blueprints for Generative AI / Agentic solutions using cloud services and frameworks such as Langgraph, MCP and A2A.

- Define architectural best practices for hybrid environments (on-prem/cloud) leveraging platforms like Azure Synapse, Databricks, AWS Sagemaker, or Google Vertex AI.

- Drive Scalable AI Data Infrastructure

- Design data architecture and infrastructure optimized for AI, leveraging cloud services, data warehouses (Snowflake, Databricks, etc.), data movement (AWS Glue, etc.) and transformation tools (dbt, etc.).

- Design integrated data management solutions built on data maturity principles, AI governance requirements and optimized for cohesive end user experience.

- Engage with Senior Tech Stakeholders

- Understand enterprise goals, identify AI and automation opportunities, and propose cutting-edge solutions using a blend of data engineering and AI/ML/GenAI/Agents.

**Skills & Attributes for Success**

- **Deep AI/ML & Data Engineering Knowledge**

- Strong understanding of AI/ML lifecycle, MLOps, and related tools (e.g., MLFlow, Kubeflow, Airflow).

- Experience integrating ML models into data pipelines at scale.

- Experience designing and deploying GenAI / LLM solutions.

- Experience designing and deploying Agentic solutions including Multi-Agent architectures, Model Context Protocol (MCP), agentic tool use and integration with front-end and back-end systems and workflows.

- **Cloud and Big Data Expertise**

- Proven architecture experience across AWS, Azure, and GCP, with proficiency in services such as SageMaker, Azure ML, BigQuery, and more.

- Deep knowledge of data platforms such as Snowflake and/or Hadoop ecosystem, Spark (Streaming & SQL), and distributed computing.

- **Real-Time and Batch Processing Capabilities**

- Expertise in building real-time analytics and streaming solutions using Apache Kafka, Spark Streaming, Apache Flink.

- Experience with NoSQL systems (e.g., Cassandra, MongoDB) and workflow engines like Apache Oozie.

- **Data Security and Governance**

- Strong knowledge in implementing data security at rest and in motion, encryption standards, access controls, and compliance.

- **Performance Engineering**

- Skilled in benchmarking performance for Enterprise AI applications, optimizing for speed, scale, and cost.

- **Client Engagement and Delivery Leadership**

- Ability to bridge the gap between business needs and technical solutions, ensuring alignment on architecture, scalability, security, and outcomes.

This role is ideal for professionals looking to blend their technical depth in AI/data engineering with strategic leadership in client delivery and solutioning.

If you're passionate about building intelligent data platforms that enable Enterprise-wide transformation, we’d love to hear from you!