Job Description
A Fortune 100 client is seeking to add an additional AI Engineer to their growing team, within Hyderabad, India. Role overview as follows:
- Design, develop, and optimize autonomous AI agents that interact with systems, users, and APIs to perform complex tasks. You will work at the intersection of LLMs, agentic frameworks, and cloud architectures, developing self-improving AI workflows for automation, coding, and decision-making.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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Required Skills & Experience
5+ years software engineering, with a focus in Python Programming with AI/ML frameworks such as TensorFlow, PyTorch.
Design, build, and deploy AI agents using LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
Integrate large language models (LLMs) (GPT-4,o1, Claude, Llama, Mistral etc.,) into multi-agent systems.
Develop multi-agent orchestration pipelines, enabling collaboration between AI agents for complex task execution.
Knowledge of vector databases and embeddings for retrieval-augmented AI (RAG).
Implement retrieval-augmented generation (RAG) with vector databases like Milvus, Pinecone, Azure AI Search (with Vector Indexing).
Optimize AI workflows using Reinforcement Learning (RLHF) and function calling for improved reasoning and automation.
Integrate AI agents with APIs, DevOps tools and existing workflows.
Ensure observability, debugging, and monitoring of AI agent behavior through logging frameworks.
Implement memory persistence for long-term agent interactions using graph-based memory or event stores.
Collaborate with cross-functional teams to embed AI agents into DevOps, automation, and software development processes.
Implement various prompt techniques, including zero-shot, few-shot, chain-of-thought (CoT), and fine-tuning for optimized LLM performance.
Nice to Have Skills & Experience
Experience building self-improving AI agents for software development (e.g.,SWE-bots, or self-improving code generation agents).
Strong algorithmic thinking, problem-solving skills, and ability to debug AI-driven workflows.
Knowledge of NLP, semantic search, embeddings, and agent memory management.
Ability to work with knowledge graphs and symbolic reasoning techniques.
Familiarity with cloud AI services (Azure AI, AWS Bedrock, Google Vertex AI) and deploying AI agents in Containerized environments like Docker, Kubernetes, AKS or Similar
Understanding of LLMOps, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and function calling.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.