Business Developer

Role & Responsibilities

• UX/UI Matchmaker: Lead end-to-end design for apps/web – from profile swipes to wedding planning flows. Turn "single" users into "success stories" with intuitive, delightful interfaces!
• Design System Guru: Build, own & evolve our Shaadi Design System (Figma-based) – components, tokens, guidelines that scale across products. No more design debt drama!
• B2C Superpowers: Deep-dive user research, A/B tests, & analytics in high-traffic consumer apps. Personalize journeys for 35M+ users – think AI matches, chat boosts & premium perks!
• Cross-Func Collab: Partner with PMs, Engg, & Data teams to ship fast. Mentor juniors, run critiques, & evangelize design thinking. Be the "design doctor" for sticky features!

Ideal Candidate

• Strong Product Designer, with focus on B2C Products
• Mandatory (Experience 1): Must have 5+ YOE in Product Design (both UI and UX) with atleast 2 year in B2C companies
• Mandatory (Experience 2): Must have atleast 1 year experience building or working with highly scaled Design systems in a B2C company (non-negotiable)
• Mandatory (Skills): Must have strong knowledge and experience of design with Ai tools(Figma Cloud, Chatgpt)
• Mandatory (Portfolio): Must have strong product design portfolio of Good B2C Products, with at least 2 detailed case studies
• Mandatory (Company): B2C Product companies, B2B experience with prior exposure to B2C is also acceptable (High scaled company, mostly unicorns)
• Mandatory (Stability): Must have stayed for a minimum of 2 years with each of the previous companies
• Mandatory (Note 1): CV must have portfolio link with at least 2 detailed case study
• Mandatory (Note 2): This will be a complete IC role
• Mandatory (Note 3): CTC is inclusive of 5%variable
• Preferred (Education): Graduate from Tier-1 colleges (IIT, NID, NIFT, BITS etc)

Qualifications:

• Bachelor's degree in Interior Design or a related field.

• 3 to 4 years of proven experience in interior design, with a focus on commercial or residential projects.

• Proficient in AutoCAD, Adobe Creative Suite, and other relevant design software.

• Strong knowledge of materials, finishes, and furniture procurement.

• Excellent communication and interpersonal skills.

• Ability to lead and collaborate within a team environment.

• Project management skills, including the ability to manage timelines and budgets effectively.

• If you meet the above qualifications and are passionate about creating innovative and

functional interior spaces, we invite you to apply for the Senior Interior Designer position.

Please submit your resume, portfolio, and a cover letter detailing your relevant experience

and design philosophy.

Are you passionate about leveraging data to drive strategic decisions? Join us at OIP Insurtech, where you'll play a pivotal role in analyzing market trends, optimizing operational processes, and transforming customer experiences. Bring your analytical prowess and business acumen to collaborate with a dynamic team dedicated to shaping the future of insurance technology. Apply now and be part of revolutionizing the industry with cutting-edge insights and solutions.

Requirements:

• 3-5 years of experience 
• Capable of independently conducting various aspects of business analysis, including requirements gathering, process analysis, and documentation. 
• Proactive in identifying and prioritizing issues within their domain and taking the initiative to work with the team to resolve them.
• Strong background in accounting and/or financial controlling 
• Demonstrates a high level of skill and independence
• Understands the full business analysis lifecycle and is proficient in handling various business problems and custom cases.
• Good knowledge of English
• Experience in accounting business analysis in the IT industry is highly desirable 
• Working knowledge of software development concepts, technologies, practices, and principles, and the ability to use them in different situations independently
• Good understanding of the software development lifecycle

Duties and responsibilities:

• Works closely with the development team and other stakeholders to investigate model business functions, business processes, information flows, and data structures
• Investigate operational issues, problems, and new opportunities; seek effective business solutions through improvements in aspects of business areas or systems of interest
• Assists in the analysis of underlying issues and their root causes, and identifies available options
• Communicates with clients and other stakeholders and assists in presenting issues and solutions both verbally and in writing
• Specifies data, data objects, and information flows that align with the needs of the business
• Produces business analysis deliverables using relevant documentation styles in line with company standards
• Facilitates stakeholder meetings and workshops, and presents findings and actions both verbally and in writing to the business
• Able to translate business requirements into a structured form
• Able to create structure within projects and project teams following Agile principles
• Understands the domain (Insurance Industry) and how it functions, after spending 6M in the company
• Understands the entire Policy Lifecycle, after spending 6M in the company
• Experience in using tools like Jira, Confluence, LucidChart, or other software for requirements management, documentation, and process modeling
• Experience with Agile frameworks
• Experience with testing methodologies, test planning, and quality assurance processes to ensure reliable and robust systems

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).

How You'll Contribute:

● Redefine Fintech architecture standards by building easy-to-use, highly scalable,robust, and flexible APIs

● In-depth analysis of the systems/architectures and predict potential future breakdown and proactively bring solution

● Partner with internal stakeholders, to identify potential features implementation on that could cater to our growing business needs

● Drive the team towards writing high-quality codes, tackle abstracts/flaws in system design to attain revved-up API performance, high code reusability and readability.

● Think through the complex Fintech infrastructure and propose an easy-to-deploy modular infrastructure that could adapt and adjust to the specific requirements of the growing client base

● Design and create for scale, optimized memory usage and high throughput performance.​

Skills Required:

● 5+ years of experience in the development of complex distributed systems

● Prior experience in building sustainable, reliable and secure microservice-based scalable architecture using Python Programming Language

● In-depth understanding of Python associated libraries and frameworks

● Strong involvement in managing and maintaining produc Ɵ on-level code with high volume API hits and low-latency APIs

● Strong knowledge of Data Structure, Algorithms, Design Patterns, Multi threading concepts, etc

● Ability to design and implement technical road maps for the system and components

● Bring in new software development practices, design/architecture innovations to make our Tech stack more robust

● Hands-on experience in cloud technologies like AWS/GCP/Azure as well as relational databases like MySQL/PostgreSQL or any NoSQL database like DynamoDB

• Create and lead innovative programs, software, and analytics that drive improvements to the availability, scalability, efficiency, and latency of the application
• Work with Directors to define and execute technical strategy and arbitrate technical processes and decisions.
• Work with development teams to guide future technology choices and foster cross-team collaboration
• Work across all teams to help define and clarify requirements, explore technical feasibility, and help define product directions and plans.
• Work closely with product & engineering leaders and tech leads to turn requirements into actionable plans that teams can understand.
• Define, Refine & Develop POCs in quick turnaround time and demonstrate the same to all stakeholders effortlessly
• Embed with teams from time to time to write code, provide technical guidance, etc.
• Very deep knowledge of the entire tech stack. Excellent understanding of the entire SDLC.
• Provides a multiplier effect in getting stuff done.
• Acts as SME for the team or product area within the Engineering organization and for cross-functional organizations as well.
• Teaches others why new features are important. Good understanding of customer use cases.

• A Bachelor's degree in any technical discipline
• Minimum 5 years of experience administering AEM applications
• Build management using Bamboo/Jenkins or relevant tech
• Configuration and Release management
• Design and build enablement
• Good communication skills

• Inbound/Outbound Calls II Good Communication
• Inform Customers about the Company's Products/Services and Offers
• Manage Inbound/ Outbound Customer calls in a Timely Manner
• Generate Leads That Develop Into New Customers
• Identify Customer's Needs and Convince the Customer to Buy the Product/Service
• Gain Comprehensive Product/Service Knowledge and Clarify Information Wherever Required

• Fully capable of understanding current structures, identifying the issues and rebuilding for the future.
• Technical Bug Solving Ability.
• Extensive knowledge of Mysql database/architecture design & implementation skills.
• A strong handle on JS, Jquery, JSON, Ajax and PHP frameworks.
• Strong knowledge of REST & SOAP API Integration
• Good levels of communication. Both written and verbal.
• The ability to work under pressure and to tight deadlines.