Business Development Manager

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)

About Edstellar

Edstellar provides instructor-led corporate training solutions designed to address every organizational learning requirement. With a global pool of over 5000 certified corporate trainers, Edstellar offers a robust training management platform and tailored training packages that enable organizations to scale training, centralize administration, and overcome training management challenges. Our end-to-end training management capabilities help organizations achieve success through a seamless learning experience.

Job Description: Junior Product Marketing Executive (Fresher)

Location: Bangalore

Start Date: Immediately

CTC (Annual): ₹3,00,000 - ₹3,60,000

Experience: 0 year(s) (Fresher)

Apply By: 31st March 2025

About the Role

Edstellar is seeking a passionate and motivated Junior Product Marketing Executive to join our dynamic marketing team. As a Junior Product Marketing Executive, you will assist in conducting market research, creating engaging marketing content, and collaborating with sales and product teams to position our products effectively. This is an excellent opportunity for freshers looking to kick-start their career in product marketing.

Key Responsibilities

• Market Research: Conduct research on market trends, customer preferences, and competitor strategies to assist in effective product positioning.
• Marketing Content Creation: Assist in the development of marketing materials, including social media content, blog posts, and email campaigns, to promote products and engage the target audience.
• Collaboration with Teams: Work closely with sales and product teams to gather insights, create compelling messaging, and support go-to-market strategies for new and existing products.

Skills Required

• English Proficiency (Spoken & Written): Strong communication skills for content creation and collaboration.
• Market Analysis: Ability to conduct research and analyze market trends.
• Product Management: Understanding of product development and positioning strategies.
• Product Strategy: Assist in formulating marketing strategies based on market research and product insights.

Preferred Certifications:

• Learn Business Communication
• Learn Digital Marketing
• Learn Business Analytics

Who Can Apply

• Candidates based in Bangalore.
• Freshers with an MBA in Marketing or BBA in Marketing.

Training, Salary and Perks

Product Marketing Internship Details

Position: Junior Product Marketing Executive (Intern)

Location: Bangalore

• Stipend: ₹10,000 for the training period
• 
  
• Post-Training Opportunity: Candidates who successfully complete the training phase and pass the final assessment will be offered full-time employment with Edstellar based on their overall performance and demonstrated skills.
• 
  
• CTC (Post-Training): ₹3,00,000 – ₹3,60,000 per annum
• 
  
• Stipend: ₹15,000 for the training period
• 
  
• Post-Training Opportunity: Candidates who successfully complete the training phase and pass the final assessment will be offered full-time employment with Edstellar based on their overall performance and demonstrated skills.
• 
  
• CTC (Post-Training): ₹3,00,000 – ₹3,60,000 per annum
• 
  
• Working Days: 5 days a week work culture

Proposal Engineer: 

Number of Positions: 01                   

 Education Required:  BE/Mtech -Mechanical/Chemical

Experience: 4-5 Years                        

 Salary: negotiate at the time of the interview

Notice Period: Immediate joiner can be preferred

Background required for Manufacturing of Head Exchangers, pressure vessels & Heavy fabrication Industries.

Job Details

1.       Handling Enquiries 

a)     Review enquiry with respect to design and executions capability 

b)     Communicate with the customer for resolving incomplete, ambiguous and conflicting requirements.

2.       Thermal design (Aspen & HTRI software)

a)     Understand the customer requirement and carry out the thermal design in Aspen/HTRI

b) Selection of best design for the given parameters.

b)     Carry out the preliminary mechanical design

3.       Costing of equipment and calculate final price

a)     Carry out the costing based on mechanical design, and customer drawing in Excel format

b)     Send raw material inquiries to our supplier and get a quotation for major raw materials

4.       Preparation of GA drawing in Auto cad software if required by Customer.

5.       Prepare technical offer

a)  Review of Customer specifications and prepare Deviation list.

b)  Preparation of technical offer

c)  Discuss with the customer after submitting technical offer and sort-out there queries.

6.  Visit at customer office for technical discussion.

Responsibilities:

• Designing and developing mobile-first applications.
• Creating and maintaining clean and clear front-end code and backend APIs for our web and mobile applications.
• Automation and Deployments of builds - Frontend and Backend.
• Application Performance And Error Monitoring and Automation.
• Maintaining excellent test coverage for our code base.
• Working with our shared services and field teams to identify application bottlenecks and make relevant architectural decisions.
• Constantly optimizing our code bases with an eye for modularity and legibility.
• Writing documentation for our external and internal APIs.

Requirements:

• 4-7 years of professional web development experience.
• WordPress custom theme/plugin development from scratch.
• Mandatory experience in PHP and NodeJS packages (e. g. express, socket-io).
• Experience with AWS Lambda and EC2 is required.
• MySQL/PostgreSQL/Oracle.
• Javascript / jQuery / ES6
• CSS/SCSS
• Unix Server Administration.
• Gitlab and CI deployment experience.

Nice to have:

• Familiarity with at least one Javascript framework (React, Vue.js, etc.).
• Familiarity with CI/CD Pipeline.
• Excellent documentation skills.
• Ability to clearly articulate technical problems, design and implementation choices to a broad range of stakeholders (e. g. sales team, users, security experts).

Perks and Benefits

• Work from anywhere
• Competitive salary and bonus program
• Annual company retreats to fantastic places
• Unlimited Vacation Policy
• Great healthcare coverage
• Professional development allowance
• Internet Allowance
• Customised CMMversary rewards on your 1,3,5,7 and 10-year work anniversaries
• Career Enablement – We meld your upskilling initiatives with organization’s strategic planning
• Take your Birthday Off

Intro

EAGLE Power Holdings aims to launch a portfolio of new energy retail brands, all of which enjoy the efficiency of a single technology platform. We want to do more than offer cheap "green" tariffs, and believe that our range of engaging brands can identify with shifts in consumer preferences (e.g. growth of EV usage), with the value of local communities, and with proactive support of broader ESG causes.

Our long-term strategy is technology-driven, and involves unlocking value through the digitalisation of processes around customer acquisition, engagement, and retention.
Developers at EAGLE flourish in an agile process where collaboration and ego-free communication is valued. We believe in developing working software throughout the entire product development process. We engage in product thinking as a team and cross-functionality among product managers, designers, and domain experts is promoted.

How you fit in

Engineering is the executional function of EAGLE's software delivery wing. As a server-side developer at Eagle, you will take the lead on implementing various software services of our core energy retail infrastructure. Not only are you expected to write clean, tested, and maintainable code, you will also be a central part of a product team that iterates constantly, ships regularly, and learns continuously. You will have the creative freedom for learning, experimenting, and responsible risk-taking in a startup environment.

What your role consists of:

• Develop enterprise-scale backend services using Golang

• Collaborate with engineers, UI/UX designers, and product owners to build & ship new features and maintain/enhance existing ones

• Independently come up with extensible low-level software design. Write modular, tested, readable and performant code

• Debug production issues across services and multiple levels of the stack

• Help inform product prioritisation and scoping decisions by evaluating technical complexity and risk

• Improve engineering standards, tooling, and processes

• Maintain technical documentation

What you bring to this role:

• At least 1-3 years of demonstrated ability to rely on an iterative process to maintain momentum on projects in a distributed, collaborative, agile environment
• An ownership mindset: you should look not only at what you’re asked to do, but ask why you’re doing it and how it impacts on the rest of the product, our customers, and whether it makes sense
• Comfort with low-level engineering and ability to write efficient, performant and tested code
• Think deeply about systems and services and write high-quality code. We work mostly in Golang, with AWS Cloudformation. However, languages can be learned: we care much more about your general engineering skill than - knowledge of a particular language or framework.
• Excellent communication skills and ability to give and receive constructive feedback
• Passion for the whole product process. You will have your specific areas of focus, but we find those that are passionate about the bigger picture collaborate best with cross-functional teams

Where we are

While the company is registered in the UK, the software delivery wing is built to be remote-first. Whether you prefer to be in situ or a digital nomad (or anything in between), you are welcome. We are not inclined to support relocation to London for candidates that are not already based there, as we are a remote-first company. 

What’s in it for you

We offer competitive salaries based on prevailing rates in your local employment market, but there is further room to negotiate if you are the right candidate. In addition to your basic package, you can expect to receive the following benefits:

• Flexible working hours
• Unlimited annual leave
• On-the-job coaching, and access to mentorship by industry and domain thought leaders
• Full or partial sponsorship for professional/skill development courses, certifications, and other learning opportunities (evaluated on a case-by-case basis)
• Monthly allowance package for remote working (coworking membership or cash allowance)

About EAGLE Power Holdings

In a nutshell: Transforming energy retail and supply through cutting-edge software and AI technology

The venture is in ‘stealth mode’ as we lay the foundations for blast-off. It has been launched by a team with a history of entrepreneurial successes. These include one in the climate change space which services the Californian and North America carbon markets, and another which provides highly refined machine learning software to the energy arena in Asia. Both companies were acquired last year. 

This start-up was launched in London at the end of 2020, and will focus on the deregulated energy market in GB. The mission is to discover, or invent, a viable business and operational model for energy retail within the near-zero-cost energy ecosystem that the world is moving towards. This transformation is driven by the ever-decreasing prices of renewables/alternative generation, and by the exponentially growing volumes of national energy system data. We believe these factors have yet to truly disrupt the market, and intend to accelerate the sharing of value back to consumers.

• Hands on Java experience with minimum 8 yrs. More experience is a plus but need to be hands on.
• Server side programming experience with technologies: Spring, Hibernate & Swing is a plus
• Good DB knowledge, hands on PL/SQL or T-SQL
• Experienced to work on Linux, git, IntelliJ, Eclipse
• Experience of designing and developing end-to-end solutions.