Backend Developer

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)

We are seeking an experienced Senior Backend Engineer to join our passionate team. If you have a strong background in backend development, a track record of delivering scalable and reliable solutions, and are eager to contribute to complex projects, we would love to hear from you.

Responsibilities:

• Design and develop robust, high-performance backend solutions using Python and related technologies.
• Lead the architecture and design discussions for major backend components and services.
• Collaborate closely with cross-functional teams to gather and analyze software requirements.
• Mentor and guide junior and mid-level engineers, fostering their technical growth.
• Review code and provide constructive feedback to ensure code quality and adherence to best practices.
• Identify and address performance bottlenecks, scalability challenges, and technical issues.
• Participate in sprint planning, task estimation, and agile development processes.
• Keep up-to-date with industry trends, tools, and best practices to continuously improve our backend systems.
• Drive the adoption of coding standards, design patterns, and engineering best practices.
• Collaborate with frontend engineers to ensure seamless integration between frontend and backend components.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Minimum of 4 years of professional experience in backend development.
• Strong proficiency in Python and backend frameworks like Django and Flask.
• In-depth knowledge of database systems, both relational (MySQL) and NoSQL (MongoDB, etc. ).
• Proven track record of designing and developing scalable and maintainable backend services.
• Experience with RESTful API design and best practices.
• Solid understanding of software architecture, design principles, and software development lifecycle.
• Previous experience leading or mentoring engineers is a strong plus.
• Strong problem-solving skills and a proactive attitude towards challenges.
• Excellent communication skills, both verbal and written.
• Familiarity with cloud platforms (e. g., AWS, Azure, GCP) and containerization (Docker) is a plus.

We are searching for a Laravel developer to build web applications for our clients. In this role, you will design and create projects using Laravel framework and PHP, and assist the team in delivering high-quality web applications, services, and tools for our business.

Responsibilities-

1. Discussing project aims with the client and development team.
2. Designing and building web applications using Laravel.
3. Troubleshooting issues in the implementation and debug builds.
4. Working with front-end and back-end developers on projects.
5. Testing functionality for users and the backend.

Requirements-

• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Laravel.
• Knowledge of database design and querying using SQL.
• Proficiency in HTML and JavaScript.

Additional information-

Job type- Full time- in office

Minimum experience- 1 year

Job Title: Java Developer
Experience: 1year to 5 years
Location: Chennai

Job Description :

• Design & development of Java applications using Java EE, Spring Boot, Database
•  Experience in designing, analyzing, coding and troubleshooting large-scale distributed systems
• Ensuring continuous professional self-development
• Strong core Java skills - Multithreading, Collections, Concurrent programming 
• Should have knowledge of OOPS, Design Patterns and data structure
• Should have strong understanding of databases and its core concept including stored procedure
• Ability to work in team and handle production environment, application maintenance.

• Deliver high-quality code in a fast-paced customer-facing product
• Build distributed systems to support large scale, low latency queries
• Be involved in the full life-cycle of product development from concept to deliverables
• Iterate quickly by working closely with the firmware team as well as clients and end-users of the products
• Design and implement a secure and robust API to communicate with millions of vehicles

• Excellent understanding of computer science fundamentals, data structures, and algorithms
• Good understanding of SQL or NoSQL Database
• Experienced in writing production-grade code
• Strong background in designing large scale distributed systems

• Strong experienced in writing Golang in production
• Familiar with Cloud-native technologies
• Familiar with version control systems
• Full Stack development experience in both frontend and backend
• Experienced in having fast iteration in product

Sibros is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.

• Build data pipelines for structured/unstructured, real-time/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing using Java / Python
• Design the Data stores for Big Data systems with expertise in Cassandra, HBase
• Implementation of Indexing and Search using Elasticsearch
• Setup and Deployment of Cassandra, Elasticsearch clusters

• Strong hands-on experience with Cassandra, data modeling, data replication, clustering, indexing for handling for large data sets
• Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics
• Strong understanding of CQL, Data Modeling in-order to achieve highly performant data access
• Strong experience in data modeling in Cassandra to design efficient storage model to meet variety of business needs
• Should have Elasticsearch skill with significant experience working with large Elasticsearch clusters, cluster performance optimisation, capacity planning, enhancing monitoring capabilities for early issue detection, driving operational readiness and ongoing maintenance
• Strong hands-on experience of programming with Java / Python
• Ability to troubleshoot and investigate stability, performance issues