AI Engineer

at Unico Connect Private Limited

AI Engineer

Unico Connect Private Limited

Company

Home

AI Engineer

at Unico Connect Private Limited

Posted by Umama Sayed

2 - 4 yrs

Best in industry

Mumbai

Skills

Python

Large Language Models (LLM)

Generative AI

LangGraph

FastAPI

Retrieval Augmented Generation (RAG)

AI Agents

OpenAI

Anthropic Claude

Google Gemini

Vector database

Prompt engineering

AI Engineer

LLMs, Agents & AI Services

📍 Mumbai (On-site) | Full-time | 2-4 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

AI is core to how we design, deliver, and scale software for our customers.

We are hiring an AI Engineer for a dedicated client engagement building a complex production AI platform, working on the AI capabilities and agentic features at the core of the product.

The mandatory requirement for this role is at least one AI feature personally shipped to production for real users, with operational ownership.

The role suits someone who thinks quickly on solutioning, can take an ambiguous problem to a working prototype in days, and has the discipline to carry it through to production with predictable economics.

You will work alongside the Senior AI Engineer and the wider pod, with ownership of parts of the AI surface area of the product.

Responsibilities:

Solutioning and POCs

Translate ambiguous customer problems into working POCs at speed.

Pick the right model, framework, and architecture, and demonstrate value early before scaling investment.

LLM Application Development

Build AI features and services using LLM APIs from OpenAI, Anthropic, Google, and self-hosted open-weight models (Llama, Qwen, Mistral).

Choose the right model per use case based on cost, latency, capability, and context-window trade-offs.

Agentic System Design

Design and implement agentic workflows using LangGraph, CrewAI, AutoGen, LlamaIndex Agents, or custom orchestration.

Cover tool use, planning, memory, and multi-step reasoning appropriate to the problem.

API and Service Development

Build production AI services and APIs using Python and FastAPI.

Handle streaming responses, async processing, structured outputs, retries, and graceful degradation when models or tools fail.

Retrieval and Tool Integration

Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma), embeddings, chunking strategies, hybrid search, and reranking.

Integrate external tools, internal APIs, and document sources through tool-calling and MCP-style patterns.

Cost Analysis and Unit Economics

Model the per-request and per-user cost of every AI feature before it ships.

Track token usage, prompt caching, batching, and model-routing strategies.

Drive measurable improvements in unit economics.

Production Hardening

Add observability and tracing (LangSmith, Langfuse, OpenTelemetry), guardrails, content safety checks, prompt injection defences, and fallback behaviour.

Prompt Engineering and Evaluation

Design, test, and iterate prompts with measured outcomes.

Build evaluation harnesses for accuracy, hallucination, latency, and cost.

Run benchmarks across models and prompt variants before locking in a design.

Requirements:

AI Feature Shipped to Production (Mandatory)

Must have personally built and shipped at least one AI feature that runs in production for real users, with operational ownership.

POCs, internal demos, and one-off scripts do not qualify.

2 to 4 Years of Professional Software or AI Engineering Experience

With at least one production AI feature owned end to end.

Strong Python Proficiency and API Development with FastAPI

Comfort with type hints, async, packaging, testing, streaming responses, and authentication.

Production-grade Python, not notebook-only code.

Hands-on Depth Across the LLM and Agent Stack

Working experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or self-hosted open-weight models (vLLM, Ollama, Together, Replicate).

Working familiarity with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Working knowledge of RAG, embeddings, and vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma).

Solutioning Speed and POC Velocity

Demonstrated ability to move from a fuzzy problem to a working prototype in days.

Strong instinct for what to build first, what to defer, and what to throw away.

Cost Discipline for Production AI

Ability to calculate, monitor, and optimise the cost of LLM APIs, tokens, embeddings, vector store usage, and infrastructure.

Treats unit economics as a first-class concern.

AWS Familiarity

Working knowledge of EC2, S3, IAM, and at least one of Bedrock, SageMaker, or equivalent.

Comfortable in a Fast-Moving Environment

Self-directed, comfortable with ambiguity, takes ownership without being asked, and ships under shifting priorities.

Strong Written and Spoken English Communication

Able to explain trade-offs to non-AI engineers, designers, product managers, and clients in plain language.

Nice to Have

fine-tuning or LoRA, QLoRA, PEFT exposure
MCP server authoring
eval framework experience (LangSmith, Promptfoo, Ragas, DeepEval)
open-source AI contributions
multi-modal models (vision, audio)

AI Engineer

LLMs, Agents & AI Services

📍 Mumbai (On-site) | Full-time | 2-4 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

AI is core to how we design, deliver, and scale software for our customers.

We are hiring an AI Engineer for a dedicated client engagement building a complex production AI platform, working on the AI capabilities and agentic features at the core of the product.

The mandatory requirement for this role is at least one AI feature personally shipped to production for real users, with operational ownership.

You will work alongside the Senior AI Engineer and the wider pod, with ownership of parts of the AI surface area of the product.

Responsibilities:

Solutioning and POCs

Translate ambiguous customer problems into working POCs at speed.

Pick the right model, framework, and architecture, and demonstrate value early before scaling investment.

LLM Application Development

Build AI features and services using LLM APIs from OpenAI, Anthropic, Google, and self-hosted open-weight models (Llama, Qwen, Mistral).

Choose the right model per use case based on cost, latency, capability, and context-window trade-offs.

Agentic System Design

Design and implement agentic workflows using LangGraph, CrewAI, AutoGen, LlamaIndex Agents, or custom orchestration.

Cover tool use, planning, memory, and multi-step reasoning appropriate to the problem.

API and Service Development

Build production AI services and APIs using Python and FastAPI.

Handle streaming responses, async processing, structured outputs, retries, and graceful degradation when models or tools fail.

Retrieval and Tool Integration

Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma), embeddings, chunking strategies, hybrid search, and reranking.

Integrate external tools, internal APIs, and document sources through tool-calling and MCP-style patterns.

Cost Analysis and Unit Economics

Model the per-request and per-user cost of every AI feature before it ships.

Track token usage, prompt caching, batching, and model-routing strategies.

Drive measurable improvements in unit economics.

Production Hardening

Add observability and tracing (LangSmith, Langfuse, OpenTelemetry), guardrails, content safety checks, prompt injection defences, and fallback behaviour.

Prompt Engineering and Evaluation

Design, test, and iterate prompts with measured outcomes.

Build evaluation harnesses for accuracy, hallucination, latency, and cost.

Run benchmarks across models and prompt variants before locking in a design.

Requirements:

AI Feature Shipped to Production (Mandatory)

Must have personally built and shipped at least one AI feature that runs in production for real users, with operational ownership.

POCs, internal demos, and one-off scripts do not qualify.

2 to 4 Years of Professional Software or AI Engineering Experience

With at least one production AI feature owned end to end.

Strong Python Proficiency and API Development with FastAPI

Comfort with type hints, async, packaging, testing, streaming responses, and authentication.

Production-grade Python, not notebook-only code.

Hands-on Depth Across the LLM and Agent Stack

Working experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or self-hosted open-weight models (vLLM, Ollama, Together, Replicate).

Working familiarity with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Working knowledge of RAG, embeddings, and vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma).

Solutioning Speed and POC Velocity

Demonstrated ability to move from a fuzzy problem to a working prototype in days.

Strong instinct for what to build first, what to defer, and what to throw away.

Cost Discipline for Production AI

Ability to calculate, monitor, and optimise the cost of LLM APIs, tokens, embeddings, vector store usage, and infrastructure.

Treats unit economics as a first-class concern.

AWS Familiarity

Working knowledge of EC2, S3, IAM, and at least one of Bedrock, SageMaker, or equivalent.

Comfortable in a Fast-Moving Environment

Self-directed, comfortable with ambiguity, takes ownership without being asked, and ships under shifting priorities.

Strong Written and Spoken English Communication

Able to explain trade-offs to non-AI engineers, designers, product managers, and clients in plain language.

Nice to Have

fine-tuning or LoRA, QLoRA, PEFT exposure
MCP server authoring
eval framework experience (LangSmith, Promptfoo, Ragas, DeepEval)
open-source AI contributions
multi-modal models (vision, audio)

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About Unico Connect Private Limited

Founded :

2014

Type :

Services

Size :

20-100

Stage :

Profitable

About

Building quality products are a challenge !

Taking up challenges is our way of upscaling our performance.

Unico Connect is a digital product development company based in Mumbai, India, that comprises of a team of young enthusiastic nerds who thrive on great ideas and exciting projects that look to bring innovative changes in the world. We ideate, create and execute exceptional digital products that revolutionizes the face of modern business.

Building quality products are a challenge !

Taking up challenges is our way of upscaling our performance.

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Collaborate work using bug tracking and project management tools like Jira, Redmine

Back-end development using Python/Django
Front-end development using CSS, HTML and JS
Write reusable, testable, and efficient code
Implement security and data protection
Use Amazon Relational Database Service
Commit, push, pull and sync to Bitbucket, GitLab
Deployment of code on MS Azure and AWS
Build efficient scripts and cron jobs in GCP
Connect apps and automate workflows using Integromat

Requirements

3+ years of Professional Full time experience building and maintaining complex software on a cross-functional team. You'll join us in writing clean, maintainable software that solves hard problems. You'll write testable, quality code. You'll push the team and the mission forward with your contributions.
Python and Django
Strong database skills
Basic systems administration
Bachelors or Masters in Computer Science Engineering (or equivalent)
Minimum product dev experience of 3+ years in web/mobile startups with expertise in designing and implementing high performance web applications.
You're an incessant problem solver and tougher the problem gets, more fun you have.
You love to own end to end responsibility, starting from defining the problem statement (either yourself or alongside your peers), development (PoC if needed), testing, releasing in staging & then production env and finally monitoring.
Sound working knowledge of HTML, CSS and JS is an add-on
Technical know-how of MS Azure, AWS and GCP are desirable
Understand and keep the technical documentation up-to-date on Confluence
Collaborate work using bug tracking and project management tools like Jira, Redmine

Python Developer

We Build Valuable Solutions With Code

Agency job

via Sygnific Services by Sheeba Patel

Mohali

2 - 8 yrs

₹8L - ₹12L / yr

Python

Django

React.js

Flask

We are looking for a Senior Python / Django / Flask Developer.
Experience Required -2 years to 6 years

Location -A-45 Atrium of Quark city Mohali
You will be responsible for reviewing requirements, optimizing code, writing documentation,
writing tests with proper coverage, and following all the best standards.
Requirements:
- Django
- Flask
- Django REST Framework
- Pytest
- Docker

Fullstack Developer

at KORGEN Technologies P Limited

1 recruiter

Posted by Megha Damodhar

Chennai

3 - 4 yrs

₹3L - ₹5L / yr

Javascript

Python

LAMP Stack

NodeJS (Node.js)

Demoport is India's only Online Plus Marketplace that marries the convenience of online shopping with the personal touch and comfort of offline shopping. At Demoport, users can discover, connect, chat and then place their orders online with genuine local sellers. A fast-growing company, we offer career growth at a blistering pace for the right talents.

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