Senior AI Engineer

Unico Connect LLP.; Mumbai; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Unico Connect LLP. is seeking a Senior AI Engineer to architect and deliver production AI systems for enterprise clients across the United States, European Union, and Asia-Pacific markets. This role involves leading orchestration, large-scale Retrieval-Augmented Generation, and engineering practices essential for compliance-ready production.

The ideal candidate will have over 5 years of experience in software engineering, especially in AI/ML systems, and will be responsible for mentoring engineers and driving AI engineering standards.

Qualifications

• 5+ years of professional software engineering experience.
• Multiple production LLM products shipped with measurable outcomes.
• Strong communication skills for technical documentation.

Responsibilities

• Architect production AI systems and orchestration.
• Lead RAG implementations and model-routing logic.
• Mentor AI Engineers and drive standards across the firm.

Skills

Production AI / ML systems

Python (FastAPI, async patterns)

Vector retrieval and embedding models

LangChain or comparable frameworks

Fine-tuning techniques (LoRA, QLoRA)

Distributed systems fundamentals

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Vertex AI

AWS Bedrock

vLLM or TGI

Job description

Unico Connect is seeking a Senior AI Engineer to architect and deliver production AI systems for enterprise clients across the United States, European Union, and Asia-Pacific markets. This role leads multi-agent orchestration, large-scale Retrieval-Augmented Generation (RAG), evaluation infrastructure, and the engineering practices that take artificial intelligence from proof of concept to compliance-ready production. The position suits engineers with a demonstrated track record of shipping production LLM systems and the technical maturity to debug them when they fail.

Responsibilities

• Architect production AI systems including multi-agent orchestration, retrieval pipelines, evaluation infrastructure, and observability, with documented design rationale prior to implementation
• Lead RAG implementations at enterprise scale: chunking strategy, hybrid search, reranking, caching layers, and multi-tenant index architecture
• Design model-routing and tiering logic that balances cost, latency, and quality, including build-versus-buy decisions for self-hosted versus frontier model APIs
• Build evaluation harnesses combining golden test sets, LLM-as-judge pipelines, behavioural metrics, and regression detection that gate production deployments
• Mentor 2-3 AI Engineers; conduct AI-specific code reviews where evaluation scores, not unit test pass rates, define the quality bar
• Drive infrastructure decisions across Google Cloud Vertex AI, AWS Bedrock, Modal, and self-hosted serving platforms based on workload, compliance, and cost constraints
• Partner with the Tech Lead, Product Managers, and Senior Backend Engineers on the AI roadmap; negotiate scope when engineering reality requires it
• Deliver voice AI, computer vision, and multimodal features as project requirements demand; the role is not limited to text-based LLMs
• Lead production incident response when agents misroute tool calls or retrieval pipelines surface poisoned context
• Drive AI engineering standards across the firm: prompt versioning, evaluation coverage thresholds, observability baselines, incident post-mortems
• Contribute 1 open-source patch, technical write-up, or internal evaluation framework improvement each quarter
• Represent Unico Connect's AI engineering capabilities in technical conversations with clients, prospects, and architecture review sessions

Qualifications

• 5+ years of professional software engineering experience, with at least 2 years dedicated to production AI / ML systems
• Multiple production LLM products shipped with measurable business outcomes; able to articulate the metrics moved and architecture trade-offs accepted
• Deep proficiency in Python including FastAPI, async patterns, streaming responses, and typed code with Pydantic at production scale
• Strong fundamentals in vector retrieval, embedding models, hybrid search architectures, and reranking strategies
• Hands-on experience with at least 2 of LangChain, LangGraph, LlamaIndex, Haystack, or comparable custom orchestration frameworks
• Demonstrated track record with evaluation tooling such as LangSmith, Ragas, or Phoenix, with the discipline to catch regressions before users report them
• Practical experience with fine-tuning techniques (LoRA, QLoRA, DPO) and self-hosted model deployment using vLLM, TGI, or comparable serving platforms
• Strong fundamentals in distributed systems and asynchronous backend design
• Excellent written communication; architecture decision records, design documents, and incident post-mortems as a default working medium
• Comfort delivering under regulated industry constraints such as SOC 2, HIPAA, GDPR, and FERPA when project scopes require it
• Bachelor's degree in Computer Science, Artificial Intelligence, or a related engineering field, or equivalent demonstrated experience