True Tech Professionals
Website:
truetechpro.io
Company:
https://www.linkedin.com/company/truetechpro
Industries: IT Services and IT Consulting
Job details:
Hiring: AI/ML Lead & Agent Architect | GenAI | LLM | Multi-Agent Systems
📍 Location: Gurugram (On-site)
🏢 Company: StatusNeo – The AuthenticAI™ Company
💼 Employment Type: Full-time
👨 💻 Experience: 10+ Years
About the Role
StatusNeo is looking for an experienced AI/ML Lead & Agent Architect to lead the design and development of an enterprise-grade, multi-agent AI platform for a Tier-1 global consulting firm.
This is a hands-on leadership role where you'll architect intelligent agent systems, define orchestration strategies, build governance frameworks, and lead a team of AI/ML engineers. You'll work on cutting-edge GenAI technologies to build secure, explainable, and production-ready AI systems.
Key Responsibilities
- Design and own the end-to-end architecture of a multi-agent AI platform.
- Build and manage AI agent orchestration using LangGraph, LangChain, or similar frameworks.
- Develop intelligent reasoning agents for research, retrieval, benchmarking, and content generation.
- Design Retrieval-Augmented Generation (RAG) pipelines with optimized retrieval strategies.
- Define agent contracts, context management, routing logic, and failure-handling mechanisms.
- Implement governance, guardrails, provenance, auditability, and security across AI workflows.
- Drive model selection strategies (SLM vs LLM) based on performance, latency, and cost.
- Lead model evaluation, prompt engineering, and continuous improvement initiatives.
- Build streaming AI workflows using SSE/WebSockets.
- Collaborate with Engineering, QA, Product, and Knowledge Management teams.
- Mentor and lead a team of AI/ML engineers while establishing engineering best practices.
Required Skills
- 10+ years of Software Engineering or Machine Learning experience.
- 4+ years building production-grade LLM or Agentic AI applications.
- Strong expertise in Python.
- Hands-on experience with LangGraph, LangChain, CrewAI, AutoGen, or similar agent orchestration frameworks.
- Strong experience designing multi-agent systems.
- Deep expertise in Retrieval-Augmented Generation (RAG).
- Experience with vector databases such as Qdrant, Weaviate, pgvector, Pinecone, or similar.
- Strong understanding of embeddings, hybrid search, chunking, reranking, and retrieval evaluation.
- Experience implementing AI guardrails, hallucination mitigation, and structured output validation.
- Hands-on experience with RLHF, RLAIF, reinforcement learning, or policy optimization.
- Experience with LoRA, PEFT, Prompt Tuning, Prefix Tuning, or supervised fine-tuning.
- Strong understanding of LLM deployment, inference optimization, quantization, and model serving.
- Experience building Model CI/CD pipelines and managing model versioning.
- Experience with asynchronous programming, SSE, or WebSockets.
- Strong system design and architecture skills.
- Experience leading engineering teams.
Technical Stack
Languages
- Python
- TypeScript (Integration)
AI & Agent Frameworks
- LangGraph
- LangChain
- MCP
- Tool Calling
- Function Calling
- Multi-Agent Systems
Retrieval & Vector Databases
- Qdrant
- Weaviate
- pgvector
- Hybrid Search
- Embeddings
- Re-rankers
LLM & Fine-Tuning
- OpenAI
- Anthropic
- Gemini
- LoRA
- PEFT
- Prefix Tuning
- Supervised Fine-Tuning (SFT)
Reinforcement Learning
- RLHF
- RLAIF
- Reward Modeling
- Policy Optimization
MLOps
- Model Serving
- Quantization
- CI/CD
- Model Versioning
- Streaming APIs
- SSE
- WebSockets
Governance & Security
- AI Guardrails
- Authorization (AuthZ)
- Audit Logging
- Data Isolation
- Provenance
- AI Safety
Evaluation
- LLM-as-a-Judge
- Retrieval Metrics
- AI Evaluation Frameworks
- Hallucination Detection
Preferred Skills
- Experience working on enterprise AI or GenAI platforms.
- Experience in regulated industries such as Finance, Healthcare, Legal, or Consulting.
- Experience with enterprise search or knowledge management systems.
- Familiarity with event-driven architectures.
- Experience evaluating production LLM systems.
What You'll Build
- Enterprise-grade Multi-Agent AI Platform
- AI Orchestration Engine
- Agent Swarms
- Retrieval-Augmented Generation (RAG) Frameworks
- AI Governance & Security Layer
- Model Evaluation Frameworks
- Adaptive AI Systems
- Production-ready LLM Pipelines
Why Join StatusNeo?
- Build cutting-edge Enterprise AI products.
- Work on large-scale Agentic AI systems.
- Lead architecture for next-generation LLM platforms.
- Collaborate with top AI researchers and engineers.
- Solve challenging problems in AI orchestration, governance, and reasoning.
- Opportunity to influence product architecture from the ground up.
Basic Qualifications
- ✔ 10+ years of Software Engineering / AI / ML experience
- ✔ 4+ years in Production LLM or Agentic AI Systems
- ✔ Expert in Python
- ✔ Experience with LangGraph/LangChain or similar
- ✔ Strong Multi-Agent Systems experience
- ✔ Deep RAG expertise
- ✔ Model Fine-tuning experience
- ✔ AI Governance & Security knowledge
- ✔ Technical Leadership experience
Click on Apply to know more.