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Review Criteria

• Strong Oracle Integration Cloud (OIC) Implementation profile
• 5+ years in enterprise integration / middleware roles, with minimum 3+ years of hands-on Oracle Integration Cloud (OIC) implementation experience
• Strong experience designing and delivering integrations using OIC Integrations, Adapters (File, FTP, DB, SOAP/REST, Oracle ERP), Orchestrations, Mappings, Process Automation, Visual Builder (VBCS), and OIC Insight/Monitoring
• Proven experience building integrations across Oracle Fusion/ERP/HCM, Salesforce, on-prem systems (AS/400, JDE), APIs, file feeds (FBDI/HDL), databases, and third-party SaaS.
• Strong expertise in REST/JSON, SOAP/XML, WSDL, XSD, XPath, XSLT, JSON Schema, and web-service–based integrations
• Good working knowledge of OCI components (API Gateway, Vault, Autonomous DB) and hybrid integration patterns
• Strong SQL & PL/SQL skills for debugging, data manipulation, and integration troubleshooting
• Hands-on experience owning end-to-end integration delivery including architecture reviews, deployments, versioning, CI/CD of OIC artifacts, automated testing, environment migrations (Dev→Test→Prod), integration governance, reusable patterns, error-handling frameworks, and observability using OIC/OCI monitoring & logging tools
• Experience providing technical leadership, reviewing integration designs/code, and mentoring integration developers; must be comfortable driving RCA, performance tuning, and production issue resolution
• Strong stakeholder management, communication (written + verbal), problem-solving, and ability to collaborate with business/product/architect teams

Preferred

• Preferred (Certification) – Oracle OIC or Oracle Cloud certification
• Preferred (Domain Exposure) – Experience with Oracle Fusion functional modules (Finance, SCM, HCM), business events/REST APIs, SOA/OSB background, or multi-tenant/API-governed integration environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Oracle Integration Cloud (OIC)?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is seeking an experienced OIC Lead to own the design, development and deployment of enterprise integrations. The ideal candidate will have atleast 6+years of prior experience in various integration technologies, with a good experience implementing OIC integration capabilities. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

• Lead the design and delivery of integration solutions using Oracle Integration Cloud (Integration, Process Automation, Visual Builder, Insight) and related Oracle PaaS components.
• Build and maintain integrations between Oracle Fusion/ERP/HCM, Salesforce, on-prem applications (e.g., AS/400, JDE), APIs, file feeds (FBDI/HDL), databases and third-party SaaS.
• Own end-to-end integration delivery - from architecture/design reviews through deployment, monitoring, and post-production support.
• Create reusable integration patterns, error-handling frameworks, security patterns (OAuth2, client credentials), and governance for APIs and integrations.
• Own CI/CD, versioning and migration of OIC artifacts across environments (Dev → Test → Prod); implement automated tests and promotion pipelines.
• Define integration architecture standards and reference patterns for hybrid (cloud/on-prem) deployments.
• Ensure security, scalability, and fault tolerance are built into all integration designs.
• Drive performance tuning, monitoring and incident response for integrations; implement observability using OIC/OCI monitoring and logging tools.
• Provide technical leadership and mentorship to a team of integration developers; review designs and code; run hands-on troubleshooting and production support rotations.
• Work with business stakeholders, product owners and solution architects to translate requirements into integration designs, data mappings and runbooks

Ideal Candidate

• 5+ years in integration/enterprise middleware roles with at least 3+ years hands-on OIC (Oracle Integration Cloud) implementations.
• Strong experience with OIC components: Integrations, Adapters (File, FTP, Database, SOAP, REST, Oracle ERP), Orchestrations/Maps, OIC Insight/Monitoring, Visual Builder (VBCS) or similar
• Expert in web services and message formats: REST/JSON, SOAP/XML, WSDL, XSD, XPath, XSLT, JSON Schema
• Good knowledge of Oracle Cloud stack / OCI (API Gateway, Vault, Autonomous DB) and on-prem integration patterns
• SQL & PL/SQL skills for data manipulation and troubleshooting; exposure to FBDI/HDL (for bulk loads) is desirable
• Strong problem-solving, stakeholder management, written/verbal communication and team mentoring experience

Nice-to-have / Preferred:

• Oracle OIC certification(s) or Oracle Cloud certifications
• Exposure to OCI services (API Gateway, Vault, Monitoring) and Autonomous Database
• Experience with Oracle Fusion functional areas (Finance, Supply Chain, HCM) and business events/REST APIs preferred.
• Background with SOA Suite/Oracle Service Bus (useful if migrating legacy SOA to OIC)
• Experience designing multi-tenant integrations, rate limiting/throttling and API monetization strategies.

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).

Research and identify potential leads (students, job seekers, working professionals)

Reach out to users via LinkedIn, job forums, WhatsApp groups, and email

Engage with communities (e.g., college placement cells, Telegram/Discord/Reddit groups)

Manage outreach campaigns using Google Sheets or CRM tools

Work closely with the founder to refine lead strategy and messaging

1. Ability to work in a fast-paced environment with minimal supervision
2. Experience in Agile development using JIRA, GIT,  Confluence.
3. 3+ years of Experience in  node.js + Express.
4. Experience in profiling, debugging & troubleshooting Node.js processes.
5. Strong Experience as a backend developer for REST API design.
6. Strong knowledge of SQL/NoSQLdatabases like  PostgreSQL / MySQL or MongoDB
7. Understanding accessibility and security compliance
8. Understanding fundamental design principles behind a scalable application.
9. User authentication and authorization between multiple systems, servers, and environments.

Position Overview:

We are seeking a highly motivated and analytical individual to join our team as a Market Research and

Competitive Intelligence Analyst, specializing in enterprise technologies and telecom markets. As an integral

member of our organization, you will be responsible for gathering, analyzing, and interpreting data to provide

strategic insights and recommendations to support our business decisions and competitive positioning. This role

requires a deep understanding of the enterprise technologies and telecom sectors, as well as strong research,

analytical, and communication skills

 Job Description:

o Conduct comprehensive market research:

 Identify and analyze market trends, industry developments, and emerging technologies in the

enterprise technologies and telecom markets.

 Gather data on market size, market share, growth rates, customer needs, and competitive landscapes.

 Monitor regulatory changes, industry standards, and policy developments impacting the sector.

 Utilize primary and secondary research methods to collect relevant data, including surveys, interviews,

and data analysis tools.

o Perform competitive intelligence analysis:

 Identify key competitors in the enterprise technologies and telecom markets and track their activities,

strategies, and performance.

 Analyze competitors' product offerings, pricing strategies, market positioning, and go-to-market

approaches.

 Evaluate strengths, weaknesses, opportunities, and threats (SWOT) of competitors.

 Conduct benchmarking analysis to assess our company's performance against competitors and identify.

areas for improvement.

o Generate strategic insights and recommendations:

 Synthesize market and competitive data to extract meaningful insights and actionable

recommendations.

 Collaborate with cross-functional teams to provide strategic guidance for product development,

marketing campaigns, and sales strategies.

 Present findings, reports, and recommendations to senior management and stakeholders in a clear and

concise manner.

 Stay abreast of industry trends, best practices, and technological advancements to inform strategic

decision-making.

o Maintain industry knowledge and expertise:

 Continuously update knowledge of enterprise technologies and telecom markets through research,

industry events, and networking.

 Build relationships with industry experts, analysts, and vendors to gain insights and access to relevant

information.

 Act as an internal subject matter expert, providing guidance and training to colleagues on market.

research and competitive intelligence methodologies.

 Team Management:

 Qualifications and Skills/ Experience, Expertise:

o Previous Experience in a Related Field Preferred; Proven work experience as a Market Research Analyst,

o bachelor's degree in business, marketing, economics, or a related field. A master's degree is preferred.

o Proven experience in market research, competitive intelligence, or related fields within the enterprise

technologies and telecom sectors.

o In-depth knowledge of enterprise technologies, such as cloud computing, cybersecurity, artificial intelligence,

and data analytics.

o Familiarity with telecom services, network infrastructure, wireless technologies, and telecommunications

regulations.

o Proficient in gathering, analyzing, and interpreting quantitative and qualitative data from various sources.

o Strong analytical and critical thinking skills, with the ability to translate data into actionable insights and

recommendations.

o Excellent written and verbal communication skills, including the ability to present complex information in a clear

and concise manner.

o Proficiency in using market research tools, data analysis software, and Microsoft Office suite.

o Detail-oriented with strong organizational and project management skills.

o Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.

o Strong business acumen and a keen interest in staying up to date with industry trends and developments

o Strong interpersonal skills and an ability work as part of a team, both physical and virtual

o Ability and willingness to work on short deadlines; Strong organizational skills with a problem-solving attitude;

Strong listening and storytelling skills.

o Enthusiasm for working in a high profile, fast-paced startup culture.

o Responsible and self-motivated; Strong analysis skills; Ability to learn new technologies; Ability to multitask and

prioritize between competing activities

o Expertise in MS office - Excel, Word & Power Point documents.

 Key Deliverables: Key Performance Indicators (KPIs) and Key Result Areas (KRAs) for the Market Research and

Competitive Intelligence Analyst. These KPIs and KRAs are designed to evaluate the performance and contribution of the Market Research and Competitive Intelligence Analyst in enterprise technologies and telecom markets. They focus on areas such as market share analysis, competitor analysis, customer insights, strategic recommendations, research accuracy, industry expertise, cross-functional collaboration, and process improvement.

o KPI: Market Share Analysis

 Measure and track changes in market share for our company and key competitors.

 Assess the impact of market share changes on business performance.

 Develop strategies to improve or maintain market share in target markets.

o KPI: Competitor Analysis

 Monitor and analyze competitor activities, including product launches, marketing campaigns, and

pricing strategies.

 Provide regular updates on competitor strengths, weaknesses, and market positioning.

 Identify opportunities and threats in the competitive landscape and propose counterstrategies.

o KPI: Customer Insights

 Gather customer feedback and conduct surveys to understand customer preferences, needs, and

satisfaction levels.

 Translate customer insights into actionable recommendations for product development, marketing,

and customer service improvements.

 Track customer satisfaction scores and measure the impact of initiatives on customer loyalty and

retention.

o KPI: Strategic Recommendations

 Provide timely and valuable strategic recommendations based on market research and competitive

intelligence.

 Evaluate the potential impact of strategic initiatives on business performance and market positioning.

 Monitor the implementation of strategic recommendations and measure their effectiveness.

o KPI: Research Accuracy and Timeliness

 Ensure accuracy and reliability of research data and information.

 Adhere to research methodologies, data collection processes, and quality standards.

 Deliver research reports and insights within defined timelines to support decision-making processes.

o KPI: Industry Knowledge and Expertise

 Stay updated with industry trends, emerging technologies, and regulatory changes in enterprise.

technologies and telecom markets.

 Participate in industry events, webinars, and conferences to expand knowledge and network with

industry professionals.

 Share industry insights and best practices with the team and contribute to thought leadership

activities.

o KRA: Cross-functional Collaboration

 Collaborate with product management, sales, and marketing teams to align market research findings.

with business strategies.

 Provide support and guidance for product development, marketing campaigns, and sales initiatives

based on market insights.

 Foster a culture of knowledge sharing and collaboration across departments.

o KRA: Process Improvement

 Identify opportunities to streamline and improve market research and competitive intelligence.

processes.

 Implement best practices, tools, and technologies to enhance efficiency and effectiveness.

 Measure the impact of process improvements on the quality and timeliness of deliverables.

Education: Any graduate, with digital certifications (a must)

Note:

• Should have hands-on core knowledge of Java.
• Must have min 3-5 years of experience.

Kindly do not apply otherwise.

Candidates must also fill out this form to start their processes. -> https://forms.gle/mBUAdg2NfrL6DF479

Looking for 5+ years of experienced Java developers to work on a new-age lending finance company based in Pune. We empower established banks with the lending ecosystem of the future. Backed by HDFC, we are on a mission to grow our current transactional amount of 13 Bn+ to tenfolds in the near future.

Our tech stack is one of the most exciting and ahead of its times where we would be expecting you to get your hands practical on these things.

- Ability to communicate effectively verbally and in writing.

- Mentoring junior developers with code reviews design reviews and unit tests.

- Code Versioning (Git, Bitbucket)

- Java

• Collections

• Multi-threading, Background Scheduling

• Design & Architecture patterns

• Springboot, MVC, API-first philosophy

• Understanding fundamental design principles behind a scalable application

• Work with database versioning concepts using Java.

- Api Gateways - APiCurio, Kong, Open API Concept

- Redis, Kafka, ElasticSearch

- DB - PSQL, Aurora, MongoDB

- Deployment - basic understanding of Docker, Kubernetes, Terraform AWS

- Alerting & Monitoring - grafana, elasticsearch, kibana, fluentd, prometheus

Although the full list of the tech stack is very vast, and we've multiple developers for each part of the stack, we would expect any senior role to understand the basics of other services end of the day, but be fluent in Core Java.

• Must have a Bachelor’s degree in Computer Science or an analytical discipline and/or equivalent experience
• Must have experience with Implementing RSA Aveksa/ IGL
• Must have experience with Active Directory (AD), LDAP and/or X 500 directory services,
• Must have experience with JavaScript, HTML, C++ and/or XML programming,
• Excellent attendance and punctuality record,
• Excellent communication and team skills,

Qualifications

• 3+ years of experience in development using Python OR Node.js
• Experience with React.js

• Previous experience with Shopify customization is desirable
• Bachelor’s degree in computer science or related field