Key Account Manager

Job Details

- Job Title: Sr. Software Engineer

- Industry: Engineering

- Domain - Information technology (IT)

- Experience Required: 6-9 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description

Designation: Sr. Software Engineer

Qualifications: BE Electronics/Electrical/ Computers, MSC/ BSC - Comp •

Experience: 6 to 9 years.

Location: Pune

Work Mode: Hybrid (4 days from office and 1- day WFH)

A. Skills & Technologies:

Must Have:

• Sound knowledge on object-oriented programming (OOPS)
• Experience on .Net framework/.NET Standard/.Net core with C#
• Good analytical & requirement analysis skills
• Familiarity with OOAD use of UML for creation of high- and low-level software design.
• Familiarity with version control systems such as Svn, Clear Case, Git, etc.

Desirable:

Desktop applications development using WinForms OR WPF

Knowledge of SOLID principles and design patterns.

Knowledge of branching and tagging labelling processes in version control system.

Familiarity with estimation techniques and software engineering lifecycle.

Familiarity with unit testing frameworks such as Nunit, XUnit, etc.

B. Behaviors:

• Good team player
• Good collaboration with other cross functional teams
• Open to learn and work on different/new technologies
• Agile in nature
• Self-motivated and proactive
• Taking Ownership

C. Role and Responsibilities:

• Own requirement and defect fixes with minimal supervision
• Analyze requirements and propose solutions. Identify and mitigate technical risks.
• Create effort estimations for the assigned requirement.
• Create software design by discussing with Lead
• Follow required software development processes as defined by Lead/Manager.
• Own the given task and be proactive in status reporting, risk identification etc.
• Flexible to context switch within different requirements assigned.
• Flexible to adopt and work on different technologies as required.
• Technical work management for self and team members.
• Good, effective and respectful communication with team, juniors and seniors.

Must-Haves

6years of Hands‑on experience with object‑oriented programming.

6years of Hands‑on experience with .NET Framework/.NET Standard/ .NET Core/ C#

Familiarity with OOAD and UML for high‑level and low‑level software design

Hands‑on experience with version control systems such as SVN, ClearCase, Git, etc.

Familiarity with estimation techniques and software engineering lifecycle.

SOLID principles and design patterns.

*******

Notice Period: Immediate to 30 days.

Bachelor's degree - BE – Electronics/Electrical/ Computers, MSC/ BSC - Comp 

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-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 LLMpowered 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 singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair 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 qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable 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 Al work, and raise the engineering bar across the Al 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 Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al 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 OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex 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 Al. Track record of measurable cost optimisation on production Al 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 Al 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 Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

Responsibilities:

• Conduct in-depth analysis of the product and documentation requirements.
• Create highly technical documentation that meets the needs of its intended audience.
• Collaborate with the technical team to make the products easier to use by writing a simple instructions manual.
• Review the existing content and make changes as required.
• Research and develop technical design specifications and test scripts.

Requirements:

• Bachelor's degree in Computer Science or Engineering.
• 3-5 years of experience working as a Technical Writer or a similar role.
• Ability to create high-quality technical documents.
• Exceptional working experience in technical writing of software documentation requirements.
• Ability to understand the technical concepts and make them easier to understand for our product users.
• Familiar with the product development process.
• Outstanding writing skills.
• Ability to write in different styles for a variety of audiences.
• Exceptional verbal communication skills.
• Good time management skills.

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

Job Location - Hyderabad & Ahmedabad 

What you'll do: 

• Perform complex application programming activities with an emphasis on mobile development:  Node.js, TypeScript, JavaScript, RESTful APIs and related backend frameworks 

• Assist in the definition of system architecture and detailed solution design that are scalable and extensible 
• Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible 
• Own the quality of code and do your own testing. Write unit test and improve test coverage. 
• Deliver amazing solutions to production that knock everyone’s socks off 
• Mentor junior developers on the team 

What we’re looking for: 

• Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around. 
• A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time. 
• A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts. 
• Flexible and willing to accept change in priorities, as necessary 

• Demonstrable passion for technology (e.g., personal projects, open-source involvement)  
• Enthusiastic embrace of DevOps culture and collaborative software engineering 
• Ability and desire to work in a dynamic, fast paced, and agile team environment 
• Enthusiasm for cloud computing platforms such as AWS or Azure 
• Excellent written and verbal communications skills 

Preferred Qualifications:  

• Experience with Apache Cordova framework 
• Demonstrable knowledge of native coding background in iOS, Android 
• Experience developing and deploying applications within Kubernetes based containers  
• Experience in Agile and SCRUM development techniques 

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Requirement

1. 2+ Years of development experience in the full stack development (preferred MERN technology stack).
2. should be proficient in working with technologies like JavaScript, CSS, and JS with framework like NodeJs and ReactJS.
3. Strong skills and experience with programming, design, and architecture, and familiarity/experience with AWS and other cloud technologies.
4. Good Knowledge of APIs is a must.
5. Should have good knowledge of databases like Linux.
6. Experience working in an Agile/Scrum environment
7. Keen interest in emerging technologies with an aptitude to learn and adapt.
8. A basic understanding in  Java is a plus.

Responsibilities:

1. Should be able to work independently once proper guidance is provided.
2. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
3. Ensure timely completion of development activity.
4. Prepare training documents and provide training to internal teams on tools.
5. Consult, design, and develop well-structured, scalable in-house tools.
6. Should be able to write optimized business logic for business functions.

• 8-10 years of experience into IT SOX, IT Audits, ITGC testing
• Tech, M.Tech, BE, MBA or similar qualification.
• CISA (Certified Information Systems Auditor), Certified Internal Auditor (CIA), Certified Risk and Information Systems Control (CRISC), or similar professional certification preferred.
• Firm understanding of information technology, including IT process, IT general controls, as well as COSO and COBIT frameworks.
• Good technical knowledge of Application security and Access Management
• Hands-on experience on Excel, PowerPoint, PowerBI, etc.

• Proficiency with NodeJs, ES6, Express;
• Experience in Source Control (Bitbucket/GIT);
• Experience in developing and scaling B2B applications.
• Knowledge and experience with using Restful API;
• Must be able to design components to drive reusability and performance;
• Must be able to build responsive design;
• Design, develop, and maintain code that meets requirements, is high quality, and performs efficiently and effectively to provide a great customer experience;
• Write production quality and thoroughly tested code.