Forward Deployed Engineer

Insight Global; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Insight Global's IG Labs division seeks a Forward Deployed Engineer to design, build, and deploy enterprise AI solutions for clients. You will work at the intersection of AI engineering, software development, and client delivery, owning solutions from problem definition through production deployment.

You will build agentic systems with LLMs, RAG, and orchestration frameworks, collaborating with Technical Architects, Data Engineers, Product teams, and client stakeholders.

Qualifications

• 4+ years of software engineering experience.
• Strong Python development skills.
• Production experience deploying applications.
• Hands-on with Generative AI, LLMs and agentic systems.
• Experience with LangGraph, LangChain, CrewAI, AutoGen or similar.
• Familiarity with embeddings, vector databases and retrieval systems.
• Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, SageMaker, Vertex AI).
• Excellent problem-solving and communication skills.

Responsibilities

• Design, build, and deploy production-grade AI systems for enterprise clients.
• Develop and optimize RAG architectures and vector pipelines.
• Build AI workflows using LangGraph and LangChain.
• Implement evaluation, guardrails, monitoring, and observability for AI applications.
• Partner directly with clients to understand business problems and translate requirements into technical solutions.
• Collaborate with cross-functional teams across architecture, engineering, design, and delivery functions.
• Deploy AI solutions using cloud platforms including Azure OpenAI, AWS Bedrock, and Google Vertex AI.
• Create reusable AI components, frameworks, and best practices to accelerate future client engagements.
• Troubleshoot, optimize, and continuously improve deployed AI systems.
• Contribute to the development of reusable intellectual property and platform capabilities across engagements.

Skills

Python

LLMs

RAG

LangChain

LangGraph

Azure OpenAI

Vector DBs

Tools

Pinecone

Weaviate

pgvector

Job description

IG Labs is Insight Global's AI products and services division. We build and deploy agentic AI systems that solve real business problems for enterprise clients. Our teams work directly on organizations to design, build, and launch AI-powered solutions that drive measurable business outcomes.

As a Forward Deployed Engineer, you will work at the intersection of AI engineering, software development, and client delivery. You will build production-ready AI systems, partner with clients to solve complex business challenges, and create reusable capabilities that accelerate future deployments.

About the Role

We are seeking a Forward Deployed Engineer to design, develop, and deploy enterprise-grade AI solutions for our clients.

In this role, you will build agentic systems powered by large language models (LLMs), retrieval-augmented generation (RAG), and modern AI orchestration frameworks. You will own solutions from problem definition through production deployment and collaborate closely with Technical Architects, Data Engineers, Product teams, and client stakeholders.

This is a hands-on engineering role focused on building AI systems that are reliable, scalable, and ready for real-world production use.

Responsibilities

• Design, build, and deploy production-grade AI and agentic systems for enterprise clients
• Develop and optimize RAG architectures, retrieval pipelines, and vector database solutions
• Build AI workflows using modern orchestration frameworks such as LangGraph and LangChain
• Implement evaluation frameworks, guardrails, monitoring, and observability for AI applications
• Partner directly with clients to understand business problems and translate requirements into technical solutions
• Collaborate with cross-functional teams across architecture, engineering, design, and delivery functions
• Deploy AI solutions using cloud platforms including Azure OpenAI, AWS Bedrock, and Google Vertex AI
• Create reusable AI components, frameworks, and best practices to accelerate future client engagements
• Troubleshoot, optimize, and continuously improve deployed AI systems
• Contribute to the development of reusable intellectual property and platform capabilities across engagements

Required Qualifications

• 4+ years of software engineering experience
• Strong proficiency in Python development
• Experience building and deploying applications in production environments
• Hands-on experience with Generative AI, LLMs, and agentic systems
• Experience using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies
• Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions
• Knowledge of embeddings, vector databases, and retrieval systems
• Experience working with cloud AI platforms such as Azure OpenAI, AWS Bedrock, SageMaker, or Google Vertex AI
• Understanding of AI evaluation, observability, testing, and guardrail frameworks
• Excellent problem-solving and communication skills
• Ability to work directly with business stakeholders and client teams

Preferred Qualifications

• Experience building multi-agent systems
• Experience with Pinecone, Weaviate, pgvector, or similar vector databases
• Experience with MLOps, model deployment, monitoring, and lifecycle management
• Consulting or client-facing delivery experience
• Experience building reusable AI frameworks and platform capabilities
• Experience working in fast-paced startup or innovation-focused environments

What Success Looks Like

• You can take a business problem and independently design an AI solution
• You are comfortable building solutions from concept through deployment
• You balance engineering excellence with business impact
• You thrive in client-facing environments and enjoy solving ambiguous problems
• You focus on shipping production-ready solutions, not just prototypes or research projects

This role is ideal for a Software Engineer, AI Engineer, Applied AI Engineer, Machine Learning Engineer, GenAI Engineer, or LLM Engineer who wants to build cutting-edge AI systems and see them deployed in real-world enterprise environments.