Influencer Marketer (D2C, Ecommerce),

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)

Top college graduate with experience as Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ EX-Customer Success profile

Mandatory (Experience 1): Must have minimum 4+ years of experience in any of role (Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ Ex-Customer success) profile

Mandatory (Experience 2): Must have strategic thinking and good communication skills

Mandatory (Experience 3): Must have worked in startup or operator-style environments — demonstrating hands-on problem solving, building processes from scratch, and driving measurable outcomes across cross-functional teams

Mandatory (Graduation): Only IIT candidates from these IIT only (Kharagpur, Mumbai, Madras, Kanpur, Delhi, Roorkee, Guwahati)

Mandatory (Graduation year): 2016 onwards

• Strong Lead or Above UI/UX or Product Designer (UI/UX both, UI 60-70%)
• Mandatory (Experience 1) - Must have a minimum 8+ years of hands-on experience in product design, with recent 3+ years in Product companies
• Mandatory (Experience 2) - Must have a minimum 4+ years of product design experience in B2B SaaS companies (UI/UX both, UI 60-70%)
• Mandatory (Experience 3) - Must have 2+ years of people management experience (Read in CV)
• Mandatory (Skills 2) - Must be proficient in product design design methods (product mindset, problem-solving, UX thinking, ideation)
• Mandatory (Skills 3) - Expertise in tools like Figma, Sketch, Adobe XD, and others to create high-fidelity wireframes and prototypes
• Mandatory (Portfolio) - Strong portfolio of UX Design and UI/Visual Designs for B2B SaaS/Enterprise products
• Mandatory (Company) - B2B Saas (Enterprise is a plus)

Responsibilities:

• Complete ownership of building and maintaining APP
• Deliver across the entire app life cycle design, build, deploy, test, release to app stores and support
• Open to work on both Android and iOS front end

Requirements:

• React Developer with 2 years of experience
• Solid understanding of Javascript, NodeJS fundamentals
• Full stack understanding of Backend services, API implementation and database systems.
• Experience in either iOS(Swift, Objective C, XCode) or Android(Android Studio, Java, Kotlin)
• At least 2 year of experience in React app development
• Ability to implement designs and functionality provided by UI/UX teams
• Understanding of production deployment of the app in the App Store and Play Store

Key Skills:

• React, NodeJS

Good to have:

• Familiarity with Analytics and AWS web hosting
• Android(Android Studio, Java, Kotlin, )
• Knowledge of server-side technologies like Node.js and frameworks available for it (such as Express, StrongLoop, etc depending on your technology stack)
• Willing to explore and work on other tech stacks

Job Description

We are looking for applicant from top schools and product based technology companies who can play a key technical leadership role.

Responsibilities

• Lead the technical direction of the product.
• Document current, intermediate, and future state technical architectures that support the product’s vision and mission.
• Assist product development teams to provide technical leadership and guidance
• Facilitate and collaborate with scrum teams and product owners to create technical architectural documentation as required.
• Responsible for contributing to the technical direction of the product for the next 3-5 years by incorporating best of breed technologies.
• Provide ongoing evaluation of technology solutions and capabilities to ensure appropriate alignment of business objectives.
• Assess options, risks and cost-benefit analyses as they pertain to data architecture, security, and other technology issues.
• Outline technical recommendations and identify technological requirements that support the product roadmap.
• Develop a technical roadmap that maps to the product’s future state.
• Promote technical standards, guidelines, best practices and quality control measures for enabling and implementing software systems.
• Develop a foundational strategy to scale our platform to meet upcoming growth
• Hands-on coding, code reviews, and leadership of the technical team
• Continuous drive to explore, improve, enhance, automate, and optimise systems and tools to best meet evolving business and market needs
• Attention to detail, coupled with ability to think abstractly
• Create prototypes and proof-of-concepts for iterative development
• Keen to learn new technologies and apply the knowledge in production systems
• Take complete ownership of projects and their development cycle

Additional Requirements:

1. 10+ years of Software Development background.
2. Min 3 Years of working experience as an Architect.
3. Deep background knowledge in software development and architecture with Java for Enterprise solutions.
4. A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field) from IITs and Premier Engineering College.
5. Excellent Object Orientation, coupled with excellent problem solving and debugging skills.
6. Highly skilled at Java and related technologies, including Java Frameworks like Spring-boot or Drop wizard, RESTful web services, J SON, Servlet, JSP, MySQL, MongoDB, Kafka, AWS, Solr.
7. Must have hands-on experience in building scalable and secure back-end systems.
8. Have hands-on experience with systems that are asynchronous, RESTful and demand concurrency
9. Good to have knowledge of best software engineering practices for all stages of the software development life cycle, including coding standards, code reviews, testing, deployment.
10. 5-9 years of software development experience in Java with web architecture and scalable design.
11. Experience with agile development, continuous delivery, and DevOps and related tools.
12. Proactive and communicative to be closely aligned within the Product Management and customer requirements.
13. Strong communication and influencing skills with the ability to develop technical and business artifacts.

1. Exposure to Bigdata related technologies / tools.
2. Exposure to Elastic Search.
3. Large scale application development.
4. Able to manage large data structure and huge volume of data.
5. Exposure of developing interactive graphs and business intelligence tools
6. Object-Oriented design, patterns, algorithms, data structures
7. Exposure to business process workflow.
8. Start up work culture mindset.

ABOUT IDEAPOKE
Emerging Technologies | Bengaluru, India

Ideapoke is a global, fast growing start-up with offices in Bengaluru, Bay Area, Tokyo and Shanghai. Our software, search and insights power the innovation agenda of the largest Fortune 500 and Global 2000 companies worldwide.

Our growth is powered by our people and their unwavering commitment to the company-wide vision, strong work ethic and an entrepreneurial do-it-all spirit. We push the boundaries and break existing thought processes with the strong belief that innovation amplifies success in every piece of work we do and by extension, amplifying the success of our clients.

Ideapoke’s like to constantly learn, grow and make a difference. Join us and be part of our story.

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.