Technical Support Engineer

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)

Python Developer 

Location: Hyderabad (Apple Office)

Experience: 8+ years (Retail / E-commerce preferred)

Budget- 1.9 lpm + GST

Contract: 1 Year + Extendable

Job Responsibilities / Requirements:

• 8+ years of proven experience, preferably in retail or e-commerce environments.
• Strong expertise in Python development.
• Excellent communication skills with the ability to collaborate across multiple teams.
• Hands-on experience with Container & Orchestration: Kubernetes, Docker.
• Expertise in Infrastructure Automation via Kubernetes YAML configurations.
• Strong skills in Scripting & Automation: Python, Shell Scripts (Bash).
• Familiarity with CI/CD Pipelines: GitHub Actions, Jenkins.
• Experience with Monitoring & Logging: Splunk, Grafana.
• Immediate Joiners Preferred – Urgent Support Required.

Responsibilities:

- Design, develop, and maintain highly interactive and responsive web applications using AngularJS 14.

-  Write clean, maintainable, and well-documented code that adheres to best practices.

- Leverage Tailwind CSS for rapid UI development and ensure consistent design across the application.

- Implement user interface components and features according to design specifications.

- Integrate with backend APIs and services to retrieve and manipulate data.

- Optimize application performance for a smooth user experience across all devices and browsers.

- Conduct unit testing and participate in integration testing to ensure code quality.

- Collaborate with designers, backend engineers, product managers, and other stakeholders throughout the development lifecycle.

- Stay up-to-date with the latest advancements in frontend technologies and frameworks.

-Contribute to the improvement of existing frontend development processes and documentation.

Qualifications:

-  Strong understanding of AngularJS 14 architecture, components, directives, and services.

-  Proficiency with HTML5, CSS3, and JavaScript (ES6+).

-  In-depth knowledge of Tailwind CSS and its utility classes for rapid UI development.

- Experience with responsive web design (RWD) principles and best practices.

- Understanding of web accessibility guidelines (WCAG).

- Familiarity with unit testing frameworks (e.g., Jasmine, Karma) is a plus.

-  Experience with build tools (e.g., Webpack) is a plus.

-  Excellent problem-solving and analytical skills.

-   Strong attention to detail and a passion for creating pixel-perfect user interfaces.

-   Excellent communication and collaboration skills.

A proactive and results-oriented individual with a strong work ethic.

• Mandatory skills: Spring boot, Hibernate, Microservice
• Strong Java skills including Java 8 features 
• Good understanding of Microservices-based architecture and the related ecosystem 
• Exposure to MS SQL Server, Sybase etc. and NoSQL databases like MongoDB is also preferred.
• Great OO skills, including strong design patterns knowledge 
• Strong knowledge of software best practices, like Test-Driven Development (TDD) and
• Continuous Integration (CI) 
• Strong Knowledge of Data Structures & Algorithms
• Experience in working with data-driven RESTful APIs using web frameworks like SpringBoot,etc. 
• Should be able to do data modeling
• Good understanding of ORMs like Hibernate, JPA, etc. 
• Strong debugging skills
• Familiarity with architectural/ design patterns
• Advanced knowledge of Agile methodology.

Job Description- Content Manager (Kannada/ Telugu/ Gujarati/ Bengali/Punjabi)

Job Summary

We are looking for a qualified Content manager to join our team. You will be responsible for creating, improving and maintaining content to achieve our business goals. Your duties will also include sharing content to raise brand awareness and monitoring web traffic and metrics to identify best practices.

Our ideal candidate is an experienced professional with demonstrable creative writing skills. Ultimately, you should be able to oversee all marketing content initiatives to ensure customer engagement, brand consistency and a positive customer experience.

Job Role & Responsibilities:

         -  Develop content strategy aligned with short-term and long-term marketing targets.

• Stay up-to-date with developments and generate new ideas to draw audience’s attention.
• Use content management systems to analyse website traffic and user’s engagement metrics.
• Manage content operation based on user demand and data analysis.
  Lead content audit team to complete audit task on schedule, improve audit efficiency and accuracy rate.
• Create and publish engaging content
  
  
  

Required Qualifications and Skills

• Any Bachelor / Master’s Degree
• Strong in logical thinking, master common data analysis methods.
  Result based, good at communication, team worker
• Good communication skills, language proficient with: Kannada/ Telugu/ Gujarati/ Bengali/ Punjabi
• Good Knowledge of Excel

Job Type: Full-time

Job Location: Pune.