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Senior AI Engineer
Code Generation, Agent Architecture & LLM Systems
📍 Mumbai (On-site) | Full-time | 5+ 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.
We are hiring a Senior AI Engineer for a dedicated client engagement focused on building an AI-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code.
The mandatory requirement for this role is hands-on production experience shipping LLM-powered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage.
The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy.
You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.
Responsibilities:
Agent Architecture
Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions.
Make and revisit architectural decisions on single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair sub-agents.
Code Generation Pipeline
Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit.
Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies.
Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.
Self-Repair Loop
Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation.
This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.
Context Management
Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval.
Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes.
Own token budgeting and prompt caching strategy.
Prompt Engineering as a Discipline
Own the system prompt and per-task prompt variants (new feature, bug fix, styling change).
Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites.
Version prompts like code with changelogs and rollback capability.
Evaluation and Quality Measurement
Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant.
Define regression gates that block quality-degrading changes from shipping.
Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.
This responsibility is non-negotiable at this level.
Model Strategy and Cost
Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation.
Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection.
Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.
Safety and Reliability of Agent Behaviour
Defend against prompt injection from user content and fetched web content.
Ensure secrets never appear in generated client code.
Define what the agent's tools may and may not do in collaboration with the platform team.
Contribute to output moderation and abuse-pattern awareness.
Mentorship and Engineering Standards
Run code reviews, define engineering conventions for AI work, and raise the engineering bar across the AI team.
Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.
Requirements:
Hands-on Production Ownership of LLM-Powered Systems with Agent Architectures (Mandatory)
Must have personally shipped and operated at least one complex production AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.
POCs, internal demos, and tutorial-grade work do not qualify.
5+ Years of Professional Software or AI Engineering Experience
With at least 3 years focused on LLM applications, AI engineering, or production AI systems.
Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.
Strong Python Proficiency and Service Development
Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging.
Not notebook-only.
Depth Across LLM APIs and Agent Systems
Production experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).
Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.
Hands-on with tool calling, structured outputs, and multi-step reasoning.
Demonstrated, Systematic Evaluation Practice - Non-Negotiable
Must have built evaluation harnesses that gate production releases, not ad-hoc testing.
Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval.
Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.
Cost Discipline for Production AI
Track record of measurable cost optimisation on production AI features.
Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.
AWS Working Knowledge
Hands-on with EC2, S3, IAM, and Docker.
Comfort with CI/CD workflows and deploying AI services.
Awareness of LLM Security Failure Modes
Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.
Nice to Have
- Experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work
- MCP server authoring
- Open-source AI contributions
- Published technical writing on LLM systems
- Multi-modal model experience
- Fine-tuning exposure (LoRA, QLoRA, PEFT)
Position Title: Data Scientist
Employment Type: Full-Time
Experience: 3-4 years
Preferred: Male Candidate
Interview Mode: F2F Interview
Working Days: 6 days a week (2nd and 4th Saturday half day and 1st and 3rd Saturday full day)
Job Description
We are seeking a skilled and analytical Data Scientist to join our Team. The ideal candidate will be responsible for analyzing large and complex datasets, developing predictive models, and implementing machine learning algorithms to enhance banking products and business decision-making.
The role involves designing intelligent solutions for fraud detection, automated credit scoring, customer analytics, recommendation systems, and other AI-driven financial applications.
Key Responsibilities
· Develop, train, and optimize machine learning models for predictive analytics.
· Perform data mining, statistical analysis, and exploratory data analysis on structured and unstructured datasets.
· Build scalable AI and machine learning solutions for banking and financial applications.
· Design and implement fraud detection, credit scoring, and recommendation systems.
· Collect, process, clean, and validate data to ensure quality and accuracy.
· Integrate internal and external data sources to improve analytical capabilities.
· Create automated anomaly detection systems and continuously monitor their performance.
· Design algorithms to solve business challenges in the banking and financial services domain.
· Present analytical findings and business insights through reports and dashboards.
· Collaborate with software developers, business analysts, and product teams to integrate AI solutions into BankSoft products.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
- 3–4 years of experience in Data Science or Machine Learning.
- Strong knowledge of machine learning algorithms such as:
- Decision Trees & Random Forests
- Support Vector Machines (SVM)
- Naïve Bayes
- K-Nearest Neighbors (K-NN)
- Clustering and Classification techniques
- Proficiency in Python and data science libraries such as:
- NumPy
- Pandas
- Scikit-learn
- TensorFlow or PyTorch (preferred)
- Experience with SQL and relational databases.
- Knowledge of NoSQL databases such as MongoDB or Cassandra.
- Strong understanding of statistics, regression analysis, probability distributions, and hypothesis testing.
- Experience with data visualization tools such as Power BI, Tableau, Microsoft SSRS, or Matplotlib.
- Knowledge of AI concepts including predictive analytics and recommendation engines.
- Good programming and scripting skills.
- Strong analytical and problem-solving abilities.
- Excellent communication and presentation skills.
Preferred Skills
- Experience in Banking, Financial Services, or FinTech.
- Knowledge of credit risk modelling, fraud analytics, or customer behaviour analysis.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is an added advantage.
- Understanding of MLOps and model deployment is desirable.
Freeads is looking for MERN fullstack developer who can handle both front end and backend. If interested to discuss further, please reply.
A GCP BigQuery professional designs develops and optimizes largescale data warehouses ELT ETL pipelines and SQL scripts within Google Cloud Responsibilities include managing data ingestion PubSub Dataflow optimizing performance and cost and implementing securitygovernance Key skills include SQL Python Apache Airflow and Data modeling
Key Responsibilities
- Data Architecture Modeling Design and optimize BigQuery data models schemas and storage for performance and costefficiency
- Pipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer Airflow Dataflow and Dataproc
- Query Optimization Write complex SQL scripts and tune performance to minimize BigQuery slot usage
- Data Integration Ingest transform and manage data from diverse sources into BigQuery
- Governance Security Implement data security access controls and best practices
Required Skills Qualifications
- Core Technical Proficiency in GoogleSQL Python and Google Cloud Platform GCP services BigQuery Cloud Storage Dataflow
- Data Processing Experience with Apache Spark Beam or Hadoop
- Database Knowledge Strong understanding of relational RDBMS and NoSQL databases
1.4+ years of software development experience
2. Strong experience with Kubernetes, Docker, and CI/CD pipelines in cloud-native environments.
3. Hands-on with NATS for event-driven architecture and streaming.
4. Skilled in microservices, RESTful APIs, and containerized app performance optimization.
5. Strong in problem-solving, team collaboration, clean code practices, and continuous learning.
6. Proficient in Java (Spring Boot) and Python (Flask) for building scalable applications and APIs.
7. Focus: Java, Python, Kubernetes, Cloud-native development
Role - Senior FW Engineer
Location - Ahmedabad
Looking for a person to work on our control system firmware for electric vehicles. The person will be spearheading the development of automotive quality control system firmware working with the system intelligence team and with the Hardware team to bring out next generation subsystems for the product impacting the entire EV market.
Qualifications: B.E./ B.Tech. (Electronics/ Electrical/ Mechatronics/ Mechanical)
Employment: Permanent / Full Time
Location: Ahmedabad
Experience: 3 to 5 years in Firmware development
Job Responsibilities
- Working with motor controller firmware and control systems.
- Working with PFC and PSFB sections of charge controllers.
- Working closely with the System Intelligence team to implement system control algorithms.
- Write maintainable, MISRA compliant, safety compliant code.
- Unit test the system for its requirements.
Eligibility
- 3 to 5 years of experience in firmware development.
- Automotive firmware development experience is a plus.
- Familiar with firmware concepts such as RTOS and bootloaders.
- Experience in working with safety critical systems.
- Experience with MISRA C.
- Experience with unit testing frameworks.
- Familiarity with TDD methodologies.
- Experience with version control tools such as Git , SVN.
- Take the lead of scrum teams as the Product Owner
- Providing vision and direction to the Agile development team and stakeholders throughout the project and create requirements
- Ensure that the team always has an adequate amount of prior prepared tasks to work on
- Plan and prioritize product feature backlog and development for the product
- Define product vision, roadmap, and growth opportunities
- Assess value, develop cases, and prioritize stories, epics, and themes to ensure work focuses on those with maximum value that are aligned with product strategy
- Provide backlog management, iteration planning, and elaboration of the user stories
- Work closely with Product Management to create and maintain a product backlog according to business value or ROI
- Lead the planning product release plans and set the expectation for delivery of new functionalities
- Provide an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals
- Research and analyze market, the users, and the roadmap for the product
- Follow our competitors and the industry
- Keep abreast with Agile/Scrum best practices and new trends
- Previous overall working experience of 8-14 years, including 3-5 years working as a Product Owner.
- Bachelor’s in Engineering
- In-depth knowledge of Agile process and principles
- Outstanding communication, presentation, and leadership skills
- Excellent organizational and time management skills
- Sharp analytical and problem-solving skills
- Creative thinker with a vision
- Attention to details
We are looking for a high-performing Lead Developer to build our Ecommerce platform and API framework powered by Machine Learning and Artificial Intelligence. Candidates for this role will be passionate about well written code, testing, and excel at coming up with simple approaches to complex problems.
Our work culture is #overachiever, very amiable, and at the same time always charged with excitement. We encourage our team members to take responsibility and grow into future leaders in the industry.
Job Responsibilities:
- Understand project requirements, writing bug free clean code and ensure that the solution works per the agreed architecture, SLAs, KPIs and business model
- Integrate Django backend with third party API
- 100% Hands on role
- Make architecture decisions that contribute to maintainable systems
- Adapt to rapidly evolving requirements and changing priorities and drive the team accordingly
- Responsible to drive and support Ecommerce project activities and ensure marketplace implementation, deepen customer engagement, satisfaction, and user engagement
- Reverse engineer for debugging errors in code and ensure quality control in the process.
- Continually drive products towards a meaningful balance between user needs, business objectives and technical feasibility
- Documentation and reference preparation for users by writing operating instructions including changes and revisions.
- Operate in a hyper-collaborative way and follow these guiding principles: Value common sense and simplicity over complexity, make decisions quickly and move nimbly, celebrate diverse ideas, Succeed and fail together as a team
Qualifications:
- Bachelor or Master Degree in Computer Science, Software Engineering from a reputed University
- 5 to 10 years of experience working in eCommerce domain, specifically at-least 3-5 years of experience working in Django and Python.
- React and/or Angular for front end
- Proficiency in MongoDB and MySql
- Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS
- Integration experience with Payment gateway, shipping company and VAT, database concepts, Experience of web services
- Experience in performance profiling, tuning, and optimization, caching mechanisms with Enterprise level applicants
- Analytical, debugging, and troubleshooting skill with proven experience troubleshooting and fixing production bugs
- Experience in writing unit testing and test case automation.
- Ability to operate in Agile environment with a start-up mentality and unstructured environment, Energy, drive and passion to work, and operate in a digital world.
Job description
Role Overview:The Telesales & Service Associate of Bharat Matrimony sells paid memberships over phone to clients who are looking for matrimony alliances. The job is to reach out to various customers over phone, explain them the product & features and deliver value to the customers.
Key Responsibilities
- Responsible for making outbound calls and regular follow up on leads assigned.
- Build a strong relationship / trust with customers by understanding the customer requirements and suggesting the right product to the Customers.
- Selling Membership over the phone and achieve the targeted sales numbers & value, set quality parameters
- Explaining the product features in detail and how to use the packages.
- Understand the Customer requirements, encourage them to upgrade / renew the matrimony packages.
- Address all the issues / grievances of customers and provide the right customer experience.
- Capture the insights from customer interactions and share it with the internal team.
- Strictly adhere to the process requirements.
Skill and Competencies required:
Functional
- Business Knowledge Process Knowledge
- Product Knowledge
- Customer Orientation
- Language skills English / Regional language
- Telemarketing / Selling Skills
- Basic computer skills MS Excel, Word
Behavioral
- Values Integrity / Honesty / Respect
- Communication Oral & Written skills / Listening
- Executive Presence
- Business / Telephone Etiquette
- Influencing Skills
- Empathy
- Self-driven / Initiative
- Ability to manage stress
- Willingness to learn
Education and Experience:Graduate in any stream / Awaiting final year result / Graduate with arrears can also apply Minimum of 6 Months 4 years experience in Telesales / Tele-calling / Telemarketing / Collections / Retention / Domestic BPO / Direct Sales / Telecom / Insurance / Customer Engagement process or domain
Salary and Benefits
- Fixed Salary Rs. 1.5 LPA to Rs 2.00 LPA per Annum plus
- Incentive Rs. 36000/- to Rs.60000/- per Annum
- Statutory Benefits viz. PF, ESI, Bonus, Gratuity, Leave all provided
- Opportunities to learn and grow with the Company











