Software Engineer

Job Title : Software Development Engineer II (SDE 2) – Java or Golang (Backend)

Experience : 3+ Years

Location : Bengaluru

Working Days : 5 Days WFO

Notice Period : Immediate to 15 Days

Interview Process : 3 Client Rounds

Job Overview :

We are looking for an SDE 2 – Backend with strong hands-on experience in Java / Spring Boot or Golang to design, develop, and maintain scalable, high-performance backend applications. Candidates with experience in caching services will be highly preferred.

Mandatory Skills :

Java, Spring Boot, Golang, Gin, gRPC, REST APIs, Microservices, MySQL / PostgreSQL / Oracle, System Design, Caching, Data Structures & Algorithms, Git, CI/CD, Docker, Kubernetes, AWS / GCP.

Key Responsibilities :

• Design, develop, test, and deploy scalable backend applications and APIs.
• Develop microservices using Java / Spring Boot or Golang.
• For Golang roles, experience with Gin and gRPC is preferred.
• Work with MySQL, PostgreSQL, Oracle, or similar databases.
• Design and optimize caching solutions for application performance.
• Participate in system design and architecture discussions.
• Conduct code reviews and write unit/integration tests.
• Troubleshoot bugs and performance issues.
• Collaborate with Product, QA, and other engineering teams.
• Contribute to CI/CD, cloud, and DevOps practices.

Requirements :

• 3 to 5 years of backend development experience.
• Strong proficiency in Java / Spring / Spring Boot or Golang.
• Good understanding of REST APIs, Microservices, DSA, and System Design.
• Experience with relational databases.
• Strong debugging and problem-solving skills.
• Exposure to AWS/GCP, Docker, Kubernetes, Git, and CI/CD.
• Java candidates with end-to-end application design experience are preferred.
• Exposure to AI/ML tools or Low-Code/No-Code frameworks is a plus.

Interview Process :

Round 1 – LeetCode / Coding Round

• Data Structures & Algorithms
• Problem-solving and coding proficiency

Round 2 – System Design

• System architecture
• Scalability and performance
• API and database design
• Caching and distributed systems

Round 3 – Hiring Manager Round

• Technical depth
• Project and ownership experience
• Problem-solving approach
• Communication and collaboration
• Role and culture fit

AI Engineer

LLMs, Agents & AI Services

📍 Mumbai (On-site) | Full-time | 2-4 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.

AI is core to how we design, deliver, and scale software for our customers.

We are hiring an AI Engineer for a dedicated client engagement building a complex production AI platform, working on the AI capabilities and agentic features at the core of the product.

The mandatory requirement for this role is at least one AI feature personally shipped to production for real users, with operational ownership.

The role suits someone who thinks quickly on solutioning, can take an ambiguous problem to a working prototype in days, and has the discipline to carry it through to production with predictable economics.

You will work alongside the Senior AI Engineer and the wider pod, with ownership of parts of the AI surface area of the product.

Responsibilities:

Solutioning and POCs

Translate ambiguous customer problems into working POCs at speed.

Pick the right model, framework, and architecture, and demonstrate value early before scaling investment.

LLM Application Development

Build AI features and services using LLM APIs from OpenAI, Anthropic, Google, and self-hosted open-weight models (Llama, Qwen, Mistral).

Choose the right model per use case based on cost, latency, capability, and context-window trade-offs.

Agentic System Design

Design and implement agentic workflows using LangGraph, CrewAI, AutoGen, LlamaIndex Agents, or custom orchestration.

Cover tool use, planning, memory, and multi-step reasoning appropriate to the problem.

API and Service Development

Build production AI services and APIs using Python and FastAPI.

Handle streaming responses, async processing, structured outputs, retries, and graceful degradation when models or tools fail.

Retrieval and Tool Integration

Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma), embeddings, chunking strategies, hybrid search, and reranking.

Integrate external tools, internal APIs, and document sources through tool-calling and MCP-style patterns.

Cost Analysis and Unit Economics

Model the per-request and per-user cost of every AI feature before it ships.

Track token usage, prompt caching, batching, and model-routing strategies.

Drive measurable improvements in unit economics.

Production Hardening

Add observability and tracing (LangSmith, Langfuse, OpenTelemetry), guardrails, content safety checks, prompt injection defences, and fallback behaviour.

Prompt Engineering and Evaluation

Design, test, and iterate prompts with measured outcomes.

Build evaluation harnesses for accuracy, hallucination, latency, and cost.

Run benchmarks across models and prompt variants before locking in a design.

Requirements:

AI Feature Shipped to Production (Mandatory)

Must have personally built and shipped at least one AI feature that runs in production for real users, with operational ownership.

POCs, internal demos, and one-off scripts do not qualify.

2 to 4 Years of Professional Software or AI Engineering Experience

With at least one production AI feature owned end to end.

Strong Python Proficiency and API Development with FastAPI

Comfort with type hints, async, packaging, testing, streaming responses, and authentication.

Production-grade Python, not notebook-only code.

Hands-on Depth Across the LLM and Agent Stack

Working experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or self-hosted open-weight models (vLLM, Ollama, Together, Replicate).

Working familiarity with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Working knowledge of RAG, embeddings, and vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma).

Solutioning Speed and POC Velocity

Demonstrated ability to move from a fuzzy problem to a working prototype in days.

Strong instinct for what to build first, what to defer, and what to throw away.

Cost Discipline for Production AI

Ability to calculate, monitor, and optimise the cost of LLM APIs, tokens, embeddings, vector store usage, and infrastructure.

Treats unit economics as a first-class concern.

AWS Familiarity

Working knowledge of EC2, S3, IAM, and at least one of Bedrock, SageMaker, or equivalent.

Comfortable in a Fast-Moving Environment

Self-directed, comfortable with ambiguity, takes ownership without being asked, and ships under shifting priorities.

Strong Written and Spoken English Communication

Able to explain trade-offs to non-AI engineers, designers, product managers, and clients in plain language.

Nice to Have

• fine-tuning or LoRA, QLoRA, PEFT exposure
• MCP server authoring
• eval framework experience (LangSmith, Promptfoo, Ragas, DeepEval)
• open-source AI contributions
• multi-modal models (vision, audio)

About the Role

We are looking for a Senior Backend Engineer to join our core engineering team and help build high-

throughput, low-latency services that power real-time trading at scale. What We’re Looking For

You are someone who has built backend systems in a regulated, high-stakes environment — ideally fintech, brokerage, payments, or banking. You think in terms of system reliability, data correctness, and operational

excellence. You take ownership of services end-to-end: from design and implementation through deployment, monitoring, and incident response. You communicate clearly, make pragmatic trade-offs, and hold yourself and

your peers to a high engineering bar. What You’ll Do

• Design, build, and own backend microservices for a real-time trading platform — from API contracts

through to production observability. • Work with databases, caches, and event-driven architectures to ensure high availability and data

consistency across distributed systems. • Build integrations with third-party financial services — clearing, settlement, identity verification, and

payment rails. • Define and enforce engineering standards — code reviews, testing strategies, API design conventions, and incident response processes. • Collaborate with product, design, and cross-functional teams to translate business requirements into

well-scoped technical deliverables. • Participate in on-call rotations and own production reliability for the services you build. • Mentor junior engineers and contribute to a culture of technical excellence and continuous improvement. Must-Have

• 5+ years backend engineering experience with Golang and Java in production. • Strong experience with PostgreSQL, Redis, and event-driven messaging (Kafka, NATS, or RabbitMQ). • Experience building and maintaining REST/gRPC APIs at scale with proper error handling, rate limiting, and versioning. • Understanding of financial systems — ledgers, reconciliation, order lifecycle, or payment processing.

• Experience with microservices architecture, API gateways, and service-to-service communication

patterns. • Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and cloud infrastructure (AWS or

GCP). • Strong debugging and incident-response skills in distributed systems. Nice-to-Have

• Prior experience at a brokerage, wealth-tech, neo-bank, or payments company. • Experience with clearing broker integrations or introducing broker models. • Knowledge of compliance and regulatory requirements for cross-border financial products. • Experience with search infrastructure (Typesense, Elasticsearch). • Background in performance engineering — profiling, load testing, and latency optimization. Tech Stack

Languages Golang (primary), Java; Python (analytics/scripting)

Databases PostgreSQL, Redis, Typesense

Messaging Kafka, NATS, SSE / WebSocket

Infrastructure Docker, Kubernetes, AWS/GCP, Terraform

Integrations Clearing broker APIs, KYC providers, payment gateways

Observability Datadog / Grafana, PagerDuty, structured logging (ELK)

We are seeking a passionate and skilled Senior Java Developer with 5 to 11 years of experience in product development. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team.

Required Skills:

• 5 to 11 years of hands-on Java development experience.

• Strong experience in building products or applications from scratch (not just maintenance/support).

• Good understanding of object-oriented programming principles.

• Experience with frameworks like Spring, Spring Boot, Hibernate, etc.

• Strong knowledge of data structures, algorithms, and design patterns.

• Should have strong problem-solving abilities.

• Familiarity with RESTful APIs, microservices architecture is a plus.

• Solid understanding of database technologies (SQL, NoSQL).

• Exposure to cloud platforms (AWS, Azure, or GCP) will be an advantage.

• Strong debugging and troubleshooting skills.

⚠️ Important Note (Please Read Before Applying):

• Only candidates with 5–8 years of relevant experience should apply.
• Freshers or candidates with less than 5 years of experience – please do not apply.
• Only immediate joiners or candidates currently serving notice will be considered.

Job Title: Java Developer (5–8 Years)

Location: Bangalore (Hybrid Mode)

Experience: 5 to 8 years

Joining: Immediate / Notice Serving Only

About the Role:

We are looking for passionate and highly skilled Java Developers to join our dynamic team in Bangalore. The ideal candidate will have strong expertise in Java, Spring Boot, Collections, Multithreading, and Data Structures & Algorithms (DSA), with proven problem-solving abilities.

Key Responsibilities:

• Design, develop, and maintain high-performance, scalable, and secure applications.
• Work with Spring Boot and related frameworks to build microservices-based solutions.
• Optimize code using Collections & Multithreading concepts for performance and reliability.
• Apply strong DSA and problem-solving skills to deliver efficient solutions.
• Collaborate with cross-functional teams to ensure timely delivery of high-quality software.
• Troubleshoot, debug, and resolve production issues efficiently.

Required Skills & Experience:

• 5–8 years of hands-on experience in Core Java and Spring Boot.
• Strong expertise in Collections, Multithreading, and Concurrency.
• Solid understanding of DSA, Algorithms, and System Design fundamentals.
• Experience in developing REST APIs and Microservices.
• Proficiency in writing clean, maintainable, and efficient code
• .Strong analytical and problem-solving skills.

Why Join Us?

• Opportunity to work on cutting-edge projects with modern architectures.
• Hybrid work setup in Bangalore.
• Fast-paced and growth-driven environment.

Primary Duties

• Build a broad knowledge across various systems and processes via knowledge transfer and capture any missing information on the wiki

• Gather software requirements by talking to various stakeholders and document them

• Implement software solutions after discussing the requirements and taking direction from the Technical lead and talking to other colleagues within and outside the team

• Provide necessary effort and time estimates for tasks to aid scheduling and prioritization

• Provide necessary 3rd line support to the Operations teams including software fixes as needed

• Work on any BAU development activity including on-boarding new data sets and delivering new markets into the system

• Work with external vendors from time to time to gather necessary requirements for new data or changes to existing data specifications

• Maintain pro-active communication with relevant stakeholders and keep them updated on progress

General

• Any other duties commensurate with the post holder’s position and seniority; and
• All employees should understand that it is their personal responsibility to comply with all organisational, statutory and regulatory policies and procedures.

Experience, Knowledge & Skills

Essential

• 4+ years’ experience of programming in Java.
• 4+ years’ experience working with SQL including complex queries, stored procedures, views, database design and solid understanding of database concepts (preferably SQL Server)
• Experience of both Linux and Windows environments, scripting and tools
• Willing to carry out operational data tasks alongside developing new solutions
• Well organised with the ability to prioritise and manage multiple streams of work
• Excellent communication skills

Beneficial

• Experience working with Cloud environments (preferably AWS)
• Experience in handling financial data sets and familiarity with financial instruments (equities, futures, FX)
• Experience working with data pipelines and building ETL solutions
• Experience working with tools like Flink, Kafka and Tableau

Educational & Professional Qualifications

• Educated to degree (or equivalent) level or higher.
• A degree with mathematical and computing content (e.g. Computer Science, Maths, Physics)

We are looking for Senior Backend Engineers to design and build the systems that power our core business of lending and loan processing.  As a Senior Backend Engineer you will be expected to contribute significantly to your team. Your work is consistently of high quality. You solve complex problems, applying appropriate technologies, design patterns, and best practices. Your focus is on a major portion of existing or new team software. You work with your team to design and build software that is secure, correct, observable, and resilient. Your solutions are pragmatic. You identify the proper level of complexity for a task and advise your peers and manager on technical approach.

What you’ll do

• Design, implement, and maintain developer-friendly APIs and services

• Contribute to code and architecture reviews to keep our code quality high
• Debug and resolve production issues; take part in blameless postmortems
• Plan and execute smooth migrations to new technology as a way of managing technical debt
• Build tools and automation for our business and operations teams
• Make decisions on trade offs such as: Reuse versus introducing dependencies; Extensibility versus over-engineering; and Maintainability versus time to delivery (via short-term workarounds)
• Contribute to the improvement of your team’s code review standards, design discussions, team planning, and AARs.

You may shine in this role if you

• Have a track record of shipping software in a distributed systems environment

• Are enthusiastic about collaborating across departments to solve challenging problems
• Are pragmatic about the need to release less-than-perfect software and continuously iterate on it
• Can identify and articulate trade-offs in software and data design
• Can communicate both technical and business requirements fluently
• Are excited about both learning new things and teaching others

We speak mainly in javascript and golang, though we are open to engineers with different backgrounds and languages