Back End Developer (node js)

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)

Your Impact:

•                 Implements Digital Consumer experiences based on a foundation of SFCC (Salesforce commerce cloud) to meet expected quality standards

•                 Ensures functional requirements and high-level solution designs are understood and are translated into detailed technical design

•                 Implement proofs of concept to prove any new technologies, application flows or integration scenarios and identify customizations needed to SFCC platform for meeting client requirements

•                 Guides the performance tuning and scalability of the ecommerce solution

•                 Diagnose and solve technical problems during implementation and support phases

Your Skills & Experience:

•                 4-8 Years with 2+ years of implementing commerce application on any eCommerce platform in last 3 years

•                 If you have not worked in eCommerce platform, we can still discuss with you if you are expert in Java/.Net and understand REST/SOAP webservices.

•                 Demonstrate proficiency in build and release management using CI/CD strategies (leveraging tools like Jenkins and DevOps practices), implement Mocha/Chai unit and functional test cases in order to reduce costs while ensuring quality

•                 Contributes to designing, implementing and documenting the build release process as well as system configuration and deployment characteristics of the applications

•                 Participates in technical walkthroughs/ code reviews of other team members’ components, test plans and results and help them with gaps

•                 Collaborate with architect to define implementation processes and quality gates and standards

•                 Identifies risks and issues, and help monitor them

•                 Guides the development of reference and resource materials

•                 Mentors developers in improving their platform knowledge and development skills

•                 Communicate technical design to the developers and help/guide them in the implementation

•                 Participates in Agile sprints

Set Yourself Apart With:

•                 eCommerce platform certification

•                 Security considerations – OWASP, CSRF, reCAPTCHA etc. – Basic knowledge or experience

•                 Git Development workflow – Proficient

•                 Visual Studio Code IDE or Eclipse IDE - Proficient

•                 Knowledge on Agile methodology and desired tools like Jira, confluence etc.

•                 Scripting/development experience with Node.js, Mocha/Chai

•                 Experience working in any Salesforce cloud environment like SFMC, SFSC etc.

•                 Excellent written, verbal communication and articulation skills & Good team player

•                 Self-starter and self-learner with keen interest to grow

•                 Process orientation and the ability to define and setup processes

•                 Ability to provide necessary coaching to bring team members up to speed on the technology

•                 Ability to prioritize and manage multiple tasks

•                 Excellent and innovative approach to problem solving and finding solutions

•                 Flexible and proactive/self-motivated working style with excellent personal ownership of problem resolution

Job responsibility The Lead Developer contributes, to create a customer’s solution, in the building phase of the software development lifecycle. The Software Engineer is responsible for performing the detailed design of application and technical architecture components and classes in accordance to the specification provided by the Solution Architect, for coding of SW components, and for the early testing phases (component testing), and system testing support

Hands on experience in Java, Python, scripting
- Design, implement, deploy and support web-based applications and web services using server technologies stacks that include Java, MySQL
- Experience in Java/J2EE using web frameworks Play or Spring boot, REST API Development and ORM (JPA, Hibernate eBean etc.)
- In depth knowledge of Design patterns and Data structures
- Databases - MySQL, Oracle, SQL
- Solid understanding of concepts like Web Services, SOA, REST APIs, Message Queue, Caching, Distributed/Scalable Architecture
- Secure application development best practices, such as OWASP
- Document and maintain all design documents and involve in review process.
- Experienced problem solving and debugging skills.
- Good verbal and written communication and interpersonal skills
- Experience in Agile methodology is added advantage
- Knowledge of Cloud Knowledge /Azure
- Must know about Unix knowledge
- experience in Elastic search

• Hands-on experience in development of rest services using python
• Good knowledge Django or Flask framework
• Designing database tables and structures
• Skilled at optimizing large complicated SQL statements
• Knowledge of best practices when dealing with relational databases
• Proficient understanding of code versioning tools such as Git
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Experience in owning Code Quality and Code Review processes
• Good understanding of application debugging techniques
• Experienced in Agile methodologies
• Strong analytic, problem solving, and programming ability
• Initiative and drive to contribute
• Excellent organizational and task management skills
• Strong oral and written communication skills
• Ability to work in global cross-office teams

Additionally, we seek individuals with the following qualifications:

• Understanding of SEO and accessibility issues and how they relate to development
• Experience with NoSQL using MongoDB/Cassandra is a plus.
• Experience in working with Amazon Web Services (AWS) like S3, EMR, EC2 is preferred

We are looking for Developer on urgent basis who have an experience in Laravel framework. Kindly find the job description below:-

Responsibilities and Duties

• Strong knowledge of Core PHP/Laravel
• Working knowledge of MySQL databases, AJAX
• Highly proficient with MYSQL, JQuery, JavaScript
• Strong understanding of OOPs & MVC concepts
• Working experience in Laravel framework
• Experience in Web applications development using PHP
• Expert level jQuery/AngularJS

As a senior software engineer, you will contribute to our end-to-end supply chain platform. You'll work with all key stakeholders to deliver scalable, maintainable backend code and work with frontend developers to deliver amazing user experiences. We are building a design and process-centric culture where you'll play a key role in the implementation of the foundation of all our systems. Up for a challenge?

You are:

• A self-starter with a sense of what it takes to be successful as a team
• An agile - welcome change, do as little as possible and embrace continuous delivery
• Conscious about how quality is carried through from the UI to all layers underneath
• Opinionated, but flexible to accommodate the big picture

Responsibilities

• Analyze requirements, provide estimates and deliver code in an agile setup
• Stay on top of all owned work and raise red flags as early as possible
• Define the architecture, best practices, and coding standards
• Support continuous technical improvement by investigating alternatives and technologies and present them for architectural review 
• Motivate team members, coach junior members, and extend goodwill to other employees

Responsibilities:

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Integration of user-facing elements developed by front-end developers with server side logic

• Implementation of security and data protection

• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance (depending on the specific project)

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.